Overview

Dataset statistics

Number of variables59
Number of observations67
Missing cells1409
Missing cells (%)35.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory473.9 B

Variable types

Numeric12
Categorical37
Unsupported10

Alerts

airdate has constant value "2020-12-26" Constant
url has a high cardinality: 67 distinct values High cardinality
name has a high cardinality: 62 distinct values High cardinality
_links.self.href has a high cardinality: 67 distinct values High cardinality
id is highly correlated with rating.average and 3 other fieldsHigh correlation
season is highly correlated with rating.average and 3 other fieldsHigh correlation
number is highly correlated with _embedded.show.network.idHigh correlation
runtime is highly correlated with rating.average and 3 other fieldsHigh correlation
rating.average is highly correlated with id and 5 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 5 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 6 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with _embedded.show.id and 1 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with id and 8 other fieldsHigh correlation
id is highly correlated with rating.average and 2 other fieldsHigh correlation
season is highly correlated with number and 4 other fieldsHigh correlation
number is highly correlated with season and 3 other fieldsHigh correlation
runtime is highly correlated with season and 4 other fieldsHigh correlation
rating.average is highly correlated with id and 3 other fieldsHigh correlation
_embedded.show.id is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with season and 5 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 7 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with id and 8 other fieldsHigh correlation
id is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
season is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
number is highly correlated with _embedded.show.network.idHigh correlation
runtime is highly correlated with rating.average and 3 other fieldsHigh correlation
rating.average is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.id is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 6 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with id and 8 other fieldsHigh correlation
id is highly correlated with url and 35 other fieldsHigh correlation
url is highly correlated with id and 41 other fieldsHigh correlation
name is highly correlated with id and 35 other fieldsHigh correlation
season is highly correlated with id and 25 other fieldsHigh correlation
number is highly correlated with id and 21 other fieldsHigh correlation
type is highly correlated with url and 22 other fieldsHigh correlation
airtime is highly correlated with id and 36 other fieldsHigh correlation
airstamp is highly correlated with id and 38 other fieldsHigh correlation
runtime is highly correlated with id and 39 other fieldsHigh correlation
summary is highly correlated with id and 37 other fieldsHigh correlation
rating.average is highly correlated with url and 29 other fieldsHigh correlation
image.medium is highly correlated with id and 37 other fieldsHigh correlation
image.original is highly correlated with id and 37 other fieldsHigh correlation
_links.self.href is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.url is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.name is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.type is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show.language is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show.status is highly correlated with url and 31 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show.premiered is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.ended is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.officialSite is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.schedule.time is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with url and 26 other fieldsHigh correlation
_embedded.show.weight is highly correlated with id and 37 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.name is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.webChannel.country.name is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.country.code is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.country.timezone is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.officialSite is highly correlated with id and 37 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with url and 35 other fieldsHigh correlation
_embedded.show.externals.imdb is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.image.medium is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.image.original is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.summary is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.updated is highly correlated with url and 36 other fieldsHigh correlation
_embedded.show._links.self.href is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show._links.previousepisode.href is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show._links.nextepisode.href is highly correlated with id and 25 other fieldsHigh correlation
number has 1 (1.5%) missing values Missing
runtime has 3 (4.5%) missing values Missing
summary has 33 (49.3%) missing values Missing
rating.average has 49 (73.1%) missing values Missing
image.medium has 38 (56.7%) missing values Missing
image.original has 38 (56.7%) missing values Missing
_embedded.show.runtime has 19 (28.4%) missing values Missing
_embedded.show.averageRuntime has 4 (6.0%) missing values Missing
_embedded.show.ended has 29 (43.3%) missing values Missing
_embedded.show.officialSite has 12 (17.9%) missing values Missing
_embedded.show.rating.average has 50 (74.6%) missing values Missing
_embedded.show.network has 67 (100.0%) missing values Missing
_embedded.show.webChannel.id has 1 (1.5%) missing values Missing
_embedded.show.webChannel.name has 1 (1.5%) missing values Missing
_embedded.show.webChannel.country.name has 41 (61.2%) missing values Missing
_embedded.show.webChannel.country.code has 41 (61.2%) missing values Missing
_embedded.show.webChannel.country.timezone has 41 (61.2%) missing values Missing
_embedded.show.webChannel.officialSite has 26 (38.8%) missing values Missing
_embedded.show.dvdCountry has 67 (100.0%) missing values Missing
_embedded.show.externals.tvrage has 67 (100.0%) missing values Missing
_embedded.show.externals.thetvdb has 22 (32.8%) missing values Missing
_embedded.show.externals.imdb has 31 (46.3%) missing values Missing
_embedded.show.image.medium has 1 (1.5%) missing values Missing
_embedded.show.image.original has 1 (1.5%) missing values Missing
_embedded.show.summary has 2 (3.0%) missing values Missing
image has 67 (100.0%) missing values Missing
_embedded.show._links.nextepisode.href has 64 (95.5%) missing values Missing
_embedded.show.webChannel.country has 67 (100.0%) missing values Missing
_embedded.show.image has 67 (100.0%) missing values Missing
_embedded.show.network.id has 65 (97.0%) missing values Missing
_embedded.show.network.name has 65 (97.0%) missing values Missing
_embedded.show.network.country.name has 65 (97.0%) missing values Missing
_embedded.show.network.country.code has 65 (97.0%) missing values Missing
_embedded.show.network.country.timezone has 65 (97.0%) missing values Missing
_embedded.show.network.officialSite has 67 (100.0%) missing values Missing
_embedded.show.webChannel has 67 (100.0%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
summary is uniformly distributed Uniform
image.medium is uniformly distributed Uniform
image.original is uniformly distributed Uniform
_links.self.href is uniformly distributed Uniform
_embedded.show._links.nextepisode.href is uniformly distributed Uniform
_embedded.show.network.id is uniformly distributed Uniform
_embedded.show.network.name is uniformly distributed Uniform
_embedded.show.network.country.name is uniformly distributed Uniform
_embedded.show.network.country.code is uniformly distributed Uniform
_embedded.show.network.country.timezone is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links.self.href has unique values Unique
_embedded.show.genres is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.schedule.days is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.externals.tvrage is an unsupported type, check if it needs cleaning or further analysis Unsupported
image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel.country is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network.officialSite is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-09-06 02:48:52.431586
Analysis finished2022-09-06 02:49:07.350899
Duration14.92 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2034622.94
Minimum1953790
Maximum2386110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:07.421523image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1953790
5-th percentile1972577.3
Q11985593.5
median1992718
Q32005755.5
95-th percentile2283471.3
Maximum2386110
Range432320
Interquartile range (IQR)20162

Descriptive statistics

Standard deviation98324.54094
Coefficient of variation (CV)0.04832568187
Kurtosis3.537260543
Mean2034622.94
Median Absolute Deviation (MAD)7128
Skewness2.102235582
Sum136319737
Variance9667715352
MonotonicityNot monotonic
2022-09-05T21:49:07.536626image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19894931
 
1.5%
22893301
 
1.5%
19927131
 
1.5%
19927141
 
1.5%
19771881
 
1.5%
19947061
 
1.5%
19947071
 
1.5%
19947081
 
1.5%
19947091
 
1.5%
19975301
 
1.5%
Other values (57)57
85.1%
ValueCountFrequency (%)
19537901
1.5%
19612891
1.5%
19620591
1.5%
19725771
1.5%
19725781
1.5%
19762271
1.5%
19769481
1.5%
19771881
1.5%
19810731
1.5%
19813541
1.5%
ValueCountFrequency (%)
23861101
1.5%
23181121
1.5%
23035421
1.5%
22893301
1.5%
22698011
1.5%
22422781
1.5%
21817981
1.5%
21761431
1.5%
21389271
1.5%
21376061
1.5%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size664.0 B
https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den
 
1
https://www.tvmaze.com/episodes/2289330/blippi-2020-12-26-blippi-learn-about-planes-at-the-museum-of-flight-educational-videos-for-kids
 
1
https://www.tvmaze.com/episodes/1992713/detention-1x07-re-re-detention
 
1
https://www.tvmaze.com/episodes/1992714/detention-1x08-rain-of-freedom
 
1
https://www.tvmaze.com/episodes/1977188/pearl-next-door-1x06-sagittarius-season
 
1
Other values (62)
62 

Length

Max length160
Median length87
Mean length80.07462687
Min length61

Characters and Unicode

Total characters5365
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den
2nd rowhttps://www.tvmaze.com/episodes/2269801/manaki-1x08-naloznicy-podzemela-delo-manaka-mohova
3rd rowhttps://www.tvmaze.com/episodes/1993456/soul-land-7x06-di136ji
4th rowhttps://www.tvmaze.com/episodes/2386110/xian-feng-jian-yu-lu-1x51-episode-51
5th rowhttps://www.tvmaze.com/episodes/2138927/tokyo-joshi-pro-wrestling-2020-12-26-tjpw-2020-final-round-i-hope-there-are-lots-of-fun-and-happy-things-to-do-next-year

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den1
 
1.5%
https://www.tvmaze.com/episodes/2289330/blippi-2020-12-26-blippi-learn-about-planes-at-the-museum-of-flight-educational-videos-for-kids1
 
1.5%
https://www.tvmaze.com/episodes/1992713/detention-1x07-re-re-detention1
 
1.5%
https://www.tvmaze.com/episodes/1992714/detention-1x08-rain-of-freedom1
 
1.5%
https://www.tvmaze.com/episodes/1977188/pearl-next-door-1x06-sagittarius-season1
 
1.5%
https://www.tvmaze.com/episodes/1994706/the-controllers-1x01-episode-11
 
1.5%
https://www.tvmaze.com/episodes/1994707/the-controllers-1x02-episode-21
 
1.5%
https://www.tvmaze.com/episodes/1994708/the-controllers-1x03-episode-31
 
1.5%
https://www.tvmaze.com/episodes/1994709/the-controllers-1x04-episode-41
 
1.5%
https://www.tvmaze.com/episodes/1997530/the-penalty-zone-1x23-episode-231
 
1.5%
Other values (57)57
85.1%

Length

2022-09-05T21:49:07.654590image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-den1
 
1.5%
https://www.tvmaze.com/episodes/1992715/go-go-cory-carson-3x02-superhero-school1
 
1.5%
https://www.tvmaze.com/episodes/1993456/soul-land-7x06-di136ji1
 
1.5%
https://www.tvmaze.com/episodes/2386110/xian-feng-jian-yu-lu-1x51-episode-511
 
1.5%
https://www.tvmaze.com/episodes/2138927/tokyo-joshi-pro-wrestling-2020-12-26-tjpw-2020-final-round-i-hope-there-are-lots-of-fun-and-happy-things-to-do-next-year1
 
1.5%
https://www.tvmaze.com/episodes/1962059/heaven-officials-blessing-1x10-bygone-banyue-days1
 
1.5%
https://www.tvmaze.com/episodes/1972577/the-wolf-1x35-episode-351
 
1.5%
https://www.tvmaze.com/episodes/1972578/the-wolf-1x36-episode-361
 
1.5%
https://www.tvmaze.com/episodes/1994246/a-love-so-romantic-1x05-episode-51
 
1.5%
https://www.tvmaze.com/episodes/1994247/a-love-so-romantic-1x06-episode-61
 
1.5%
Other values (57)57
85.1%

Most occurring characters

ValueCountFrequency (%)
e449
 
8.4%
-428
 
8.0%
s335
 
6.2%
/335
 
6.2%
t330
 
6.2%
o323
 
6.0%
w230
 
4.3%
a199
 
3.7%
p193
 
3.6%
i189
 
3.5%
Other values (30)2354
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3650
68.0%
Decimal Number751
 
14.0%
Other Punctuation536
 
10.0%
Dash Punctuation428
 
8.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e449
12.3%
s335
 
9.2%
t330
 
9.0%
o323
 
8.8%
w230
 
6.3%
a199
 
5.5%
p193
 
5.3%
i189
 
5.2%
m171
 
4.7%
d143
 
3.9%
Other values (16)1088
29.8%
Decimal Number
ValueCountFrequency (%)
1152
20.2%
0107
14.2%
9103
13.7%
299
13.2%
362
8.3%
553
 
7.1%
753
 
7.1%
845
 
6.0%
643
 
5.7%
434
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/335
62.5%
.134
 
25.0%
:67
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-428
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3650
68.0%
Common1715
32.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e449
12.3%
s335
 
9.2%
t330
 
9.0%
o323
 
8.8%
w230
 
6.3%
a199
 
5.5%
p193
 
5.3%
i189
 
5.2%
m171
 
4.7%
d143
 
3.9%
Other values (16)1088
29.8%
Common
ValueCountFrequency (%)
-428
25.0%
/335
19.5%
1152
 
8.9%
.134
 
7.8%
0107
 
6.2%
9103
 
6.0%
299
 
5.8%
:67
 
3.9%
362
 
3.6%
553
 
3.1%
Other values (4)175
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII5365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e449
 
8.4%
-428
 
8.0%
s335
 
6.2%
/335
 
6.2%
t330
 
6.2%
o323
 
6.0%
w230
 
4.3%
a199
 
3.7%
p193
 
3.6%
i189
 
3.5%
Other values (30)2354
43.9%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
Episode 23
 
2
Episode 2
 
2
Episode 1
 
2
Episode 24
 
2
Episode 8
 
2
Other values (57)
57 

Length

Max length87
Median length37
Mean length17.02985075
Min length3

Characters and Unicode

Total characters1141
Distinct characters104
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)85.1%

Sample

1st rowКороткий день
2nd rowНаложницы подземелья. Дело маньяка Мохова
3rd row第136集
4th rowEpisode 51
5th rowTJPW 2020 Final Round ~ I Hope There Are Lots Of Fun And Happy Things To Do Next Year ~

Common Values

ValueCountFrequency (%)
Episode 232
 
3.0%
Episode 22
 
3.0%
Episode 12
 
3.0%
Episode 242
 
3.0%
Episode 82
 
3.0%
Короткий день1
 
1.5%
The Town That Never Was1
 
1.5%
The Great British Baking Show1
 
1.5%
Puppy Playdate1
 
1.5%
Episode 41
 
1.5%
Other values (52)52
77.6%

Length

2022-09-05T21:49:07.765011image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode19
 
8.7%
the15
 
6.9%
of5
 
2.3%
5
 
2.3%
23
 
1.4%
20203
 
1.4%
year3
 
1.4%
232
 
0.9%
and2
 
0.9%
from2
 
0.9%
Other values (147)159
72.9%

Most occurring characters

ValueCountFrequency (%)
151
 
13.2%
e110
 
9.6%
o73
 
6.4%
i53
 
4.6%
a50
 
4.4%
r45
 
3.9%
t43
 
3.8%
d41
 
3.6%
s40
 
3.5%
h39
 
3.4%
Other values (94)496
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter739
64.8%
Uppercase Letter167
 
14.6%
Space Separator151
 
13.2%
Decimal Number53
 
4.6%
Other Letter14
 
1.2%
Other Punctuation11
 
1.0%
Dash Punctuation3
 
0.3%
Math Symbol3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e110
14.9%
o73
 
9.9%
i53
 
7.2%
a50
 
6.8%
r45
 
6.1%
t43
 
5.8%
d41
 
5.5%
s40
 
5.4%
h39
 
5.3%
n36
 
4.9%
Other values (35)209
28.3%
Uppercase Letter
ValueCountFrequency (%)
E25
15.0%
T23
13.8%
S15
 
9.0%
D11
 
6.6%
B10
 
6.0%
R9
 
5.4%
A8
 
4.8%
W8
 
4.8%
L7
 
4.2%
C6
 
3.6%
Other values (17)45
26.9%
Other Letter
ValueCountFrequency (%)
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Other values (4)4
28.6%
Decimal Number
ValueCountFrequency (%)
215
28.3%
67
13.2%
17
13.2%
36
 
11.3%
06
 
11.3%
54
 
7.5%
44
 
7.5%
92
 
3.8%
82
 
3.8%
Other Punctuation
ValueCountFrequency (%)
,3
27.3%
:3
27.3%
?2
18.2%
.2
18.2%
&1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~2
66.7%
|1
33.3%
Space Separator
ValueCountFrequency (%)
151
100.0%
Dash Punctuation
ValueCountFrequency (%)
-3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin858
75.2%
Common221
 
19.4%
Cyrillic48
 
4.2%
Hangul12
 
1.1%
Han2
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e110
 
12.8%
o73
 
8.5%
i53
 
6.2%
a50
 
5.8%
r45
 
5.2%
t43
 
5.0%
d41
 
4.8%
s40
 
4.7%
h39
 
4.5%
n36
 
4.2%
Other values (37)328
38.2%
Cyrillic
ValueCountFrequency (%)
о7
14.6%
а4
 
8.3%
е4
 
8.3%
л3
 
6.2%
ь3
 
6.2%
н3
 
6.2%
и2
 
4.2%
д2
 
4.2%
м2
 
4.2%
я2
 
4.2%
Other values (15)16
33.3%
Common
ValueCountFrequency (%)
151
68.3%
215
 
6.8%
67
 
3.2%
17
 
3.2%
36
 
2.7%
06
 
2.7%
54
 
1.8%
44
 
1.8%
-3
 
1.4%
,3
 
1.4%
Other values (8)15
 
6.8%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2)2
16.7%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1078
94.5%
Cyrillic48
 
4.2%
Hangul12
 
1.1%
CJK2
 
0.2%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
 
14.0%
e110
 
10.2%
o73
 
6.8%
i53
 
4.9%
a50
 
4.6%
r45
 
4.2%
t43
 
4.0%
d41
 
3.8%
s40
 
3.7%
h39
 
3.6%
Other values (54)433
40.2%
Cyrillic
ValueCountFrequency (%)
о7
14.6%
а4
 
8.3%
е4
 
8.3%
л3
 
6.2%
ь3
 
6.2%
н3
 
6.2%
и2
 
4.2%
д2
 
4.2%
м2
 
4.2%
я2
 
4.2%
Other values (15)16
33.3%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2)2
16.7%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
None
ValueCountFrequency (%)
å1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.5074627
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:07.847076image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation534.3364442
Coefficient of variation (CV)3.503674081
Kurtosis9.244355162
Mean152.5074627
Median Absolute Deviation (MAD)0
Skewness3.311961919
Sum10218
Variance285515.4355
MonotonicityNot monotonic
2022-09-05T21:49:07.926156image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
139
58.2%
318
26.9%
20205
 
7.5%
52
 
3.0%
71
 
1.5%
21
 
1.5%
61
 
1.5%
ValueCountFrequency (%)
139
58.2%
21
 
1.5%
318
26.9%
52
 
3.0%
61
 
1.5%
71
 
1.5%
20205
 
7.5%
ValueCountFrequency (%)
20205
 
7.5%
71
 
1.5%
61
 
1.5%
52
 
3.0%
318
26.9%
21
 
1.5%
139
58.2%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct27
Distinct (%)40.9%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean19.18181818
Minimum1
Maximum353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:08.016507image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7.5
Q314.25
95-th percentile54
Maximum353
Range352
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation47.40947945
Coefficient of variation (CV)2.471584236
Kurtosis39.78169612
Mean19.18181818
Median Absolute Deviation (MAD)3.5
Skewness5.984775502
Sum1266
Variance2247.658741
MonotonicityNot monotonic
2022-09-05T21:49:08.117152image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
68
 
11.9%
87
 
10.4%
76
 
9.0%
15
 
7.5%
54
 
6.0%
24
 
6.0%
33
 
4.5%
43
 
4.5%
93
 
4.5%
103
 
4.5%
Other values (17)20
29.9%
ValueCountFrequency (%)
15
7.5%
24
6.0%
33
 
4.5%
43
 
4.5%
54
6.0%
68
11.9%
76
9.0%
87
10.4%
93
 
4.5%
103
 
4.5%
ValueCountFrequency (%)
3531
1.5%
1631
1.5%
561
1.5%
551
1.5%
511
1.5%
451
1.5%
361
1.5%
351
1.5%
242
3.0%
232
3.0%

type
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size664.0 B
regular
66 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.179104478
Min length7

Characters and Unicode

Total characters481
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st rowsignificant_special
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular66
98.5%
significant_special1
 
1.5%

Length

2022-09-05T21:49:08.206056image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:08.291725image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
regular66
98.5%
significant_special1
 
1.5%

Most occurring characters

ValueCountFrequency (%)
r132
27.4%
a68
14.1%
e67
13.9%
g67
13.9%
l67
13.9%
u66
13.7%
i4
 
0.8%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (4)4
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter480
99.8%
Connector Punctuation1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r132
27.5%
a68
14.2%
e67
14.0%
g67
14.0%
l67
14.0%
u66
13.8%
i4
 
0.8%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (3)3
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin480
99.8%
Common1
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r132
27.5%
a68
14.2%
e67
14.0%
g67
14.0%
l67
14.0%
u66
13.8%
i4
 
0.8%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (3)3
 
0.6%
Common
ValueCountFrequency (%)
_1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r132
27.4%
a68
14.1%
e67
13.9%
g67
13.9%
l67
13.9%
u66
13.7%
i4
 
0.8%
s2
 
0.4%
n2
 
0.4%
c2
 
0.4%
Other values (4)4
 
0.8%

airdate
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
2020-12-26
67 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters670
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-26
2nd row2020-12-26
3rd row2020-12-26
4th row2020-12-26
5th row2020-12-26

Common Values

ValueCountFrequency (%)
2020-12-2667
100.0%

Length

2022-09-05T21:49:08.364335image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:08.442769image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-2667
100.0%

Most occurring characters

ValueCountFrequency (%)
2268
40.0%
0134
20.0%
-134
20.0%
167
 
10.0%
667
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number536
80.0%
Dash Punctuation134
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2268
50.0%
0134
25.0%
167
 
12.5%
667
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2268
40.0%
0134
20.0%
-134
20.0%
167
 
10.0%
667
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2268
40.0%
0134
20.0%
-134
20.0%
167
 
10.0%
667
 
10.0%

airtime
Categorical

HIGH CORRELATION

Distinct12
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size664.0 B
44 
16:00
20:00
 
4
10:00
 
2
12:00
 
2
Other values (7)

Length

Max length5
Median length0
Mean length1.71641791
Min length0

Characters and Unicode

Total characters115
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)9.0%

Sample

1st row
2nd row
3rd row10:00
4th row10:00
5th row12:00

Common Values

ValueCountFrequency (%)
44
65.7%
16:007
 
10.4%
20:004
 
6.0%
10:002
 
3.0%
12:002
 
3.0%
18:002
 
3.0%
11:001
 
1.5%
17:001
 
1.5%
22:451
 
1.5%
00:001
 
1.5%
Other values (2)2
 
3.0%

Length

2022-09-05T21:49:08.513185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16:007
30.4%
20:004
17.4%
10:002
 
8.7%
12:002
 
8.7%
18:002
 
8.7%
11:001
 
4.3%
17:001
 
4.3%
22:451
 
4.3%
00:001
 
4.3%
20:501
 
4.3%

Most occurring characters

ValueCountFrequency (%)
052
45.2%
:23
20.0%
116
 
13.9%
211
 
9.6%
67
 
6.1%
82
 
1.7%
52
 
1.7%
71
 
0.9%
41
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number92
80.0%
Other Punctuation23
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
052
56.5%
116
 
17.4%
211
 
12.0%
67
 
7.6%
82
 
2.2%
52
 
2.2%
71
 
1.1%
41
 
1.1%
Other Punctuation
ValueCountFrequency (%)
:23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
052
45.2%
:23
20.0%
116
 
13.9%
211
 
9.6%
67
 
6.1%
82
 
1.7%
52
 
1.7%
71
 
0.9%
41
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
052
45.2%
:23
20.0%
116
 
13.9%
211
 
9.6%
67
 
6.1%
82
 
1.7%
52
 
1.7%
71
 
0.9%
41
 
0.9%

airstamp
Categorical

HIGH CORRELATION

Distinct14
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size664.0 B
2020-12-26T12:00:00+00:00
37 
2020-12-26T21:00:00+00:00
2020-12-26T04:00:00+00:00
2020-12-26T17:00:00+00:00
2020-12-26T00:00:00+00:00
 
2
Other values (9)
11 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1675
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)10.4%

Sample

1st row2020-12-26T00:00:00+00:00
2nd row2020-12-26T00:00:00+00:00
3rd row2020-12-26T02:00:00+00:00
4th row2020-12-26T02:00:00+00:00
5th row2020-12-26T03:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-26T12:00:00+00:0037
55.2%
2020-12-26T21:00:00+00:007
 
10.4%
2020-12-26T04:00:00+00:006
 
9.0%
2020-12-26T17:00:00+00:004
 
6.0%
2020-12-26T00:00:00+00:002
 
3.0%
2020-12-26T02:00:00+00:002
 
3.0%
2020-12-26T03:00:00+00:002
 
3.0%
2020-12-26T08:00:00+00:001
 
1.5%
2020-12-26T09:00:00+00:001
 
1.5%
2020-12-26T11:00:00+00:001
 
1.5%
Other values (4)4
 
6.0%

Length

2022-09-05T21:49:08.591924image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-26t12:00:00+00:0037
55.2%
2020-12-26t21:00:00+00:007
 
10.4%
2020-12-26t04:00:00+00:006
 
9.0%
2020-12-26t17:00:00+00:004
 
6.0%
2020-12-26t00:00:00+00:002
 
3.0%
2020-12-26t02:00:00+00:002
 
3.0%
2020-12-26t03:00:00+00:002
 
3.0%
2020-12-26t08:00:00+00:001
 
1.5%
2020-12-26t09:00:00+00:001
 
1.5%
2020-12-26t11:00:00+00:001
 
1.5%
Other values (4)4
 
6.0%

Most occurring characters

ValueCountFrequency (%)
0683
40.8%
2316
18.9%
:201
 
12.0%
-134
 
8.0%
1120
 
7.2%
667
 
4.0%
T67
 
4.0%
+67
 
4.0%
48
 
0.5%
74
 
0.2%
Other values (4)8
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1206
72.0%
Other Punctuation201
 
12.0%
Dash Punctuation134
 
8.0%
Uppercase Letter67
 
4.0%
Math Symbol67
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0683
56.6%
2316
26.2%
1120
 
10.0%
667
 
5.6%
48
 
0.7%
74
 
0.3%
53
 
0.2%
32
 
0.2%
92
 
0.2%
81
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:201
100.0%
Dash Punctuation
ValueCountFrequency (%)
-134
100.0%
Uppercase Letter
ValueCountFrequency (%)
T67
100.0%
Math Symbol
ValueCountFrequency (%)
+67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1608
96.0%
Latin67
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0683
42.5%
2316
19.7%
:201
 
12.5%
-134
 
8.3%
1120
 
7.5%
667
 
4.2%
+67
 
4.2%
48
 
0.5%
74
 
0.2%
53
 
0.2%
Other values (3)5
 
0.3%
Latin
ValueCountFrequency (%)
T67
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0683
40.8%
2316
18.9%
:201
 
12.0%
-134
 
8.0%
1120
 
7.2%
667
 
4.0%
T67
 
4.0%
+67
 
4.0%
48
 
0.5%
74
 
0.2%
Other values (4)8
 
0.5%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct21
Distinct (%)32.8%
Missing3
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean32.5625
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:08.670393image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q121
median24
Q345
95-th percentile60
Maximum120
Range116
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.19028459
Coefficient of variation (CV)0.681467473
Kurtosis5.827332702
Mean32.5625
Median Absolute Deviation (MAD)15.5
Skewness1.900412794
Sum2084
Variance492.4087302
MonotonicityNot monotonic
2022-09-05T21:49:08.765136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2415
22.4%
4513
19.4%
86
 
9.0%
604
 
6.0%
303
 
4.5%
1202
 
3.0%
252
 
3.0%
42
 
3.0%
162
 
3.0%
532
 
3.0%
Other values (11)13
19.4%
(Missing)3
 
4.5%
ValueCountFrequency (%)
42
 
3.0%
86
 
9.0%
92
 
3.0%
121
 
1.5%
151
 
1.5%
162
 
3.0%
201
 
1.5%
212
 
3.0%
231
 
1.5%
2415
22.4%
ValueCountFrequency (%)
1202
 
3.0%
604
 
6.0%
532
 
3.0%
501
 
1.5%
4513
19.4%
431
 
1.5%
401
 
1.5%
331
 
1.5%
303
 
4.5%
291
 
1.5%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct34
Distinct (%)100.0%
Missing33
Missing (%)49.3%
Memory size664.0 B
<p>Chef Lovely's friends are coming to celebrate her birthday, so she cooks her favorite foods -- an Oxtail Bourguignon with Mashed Potatoes, Pancetta Brussels Sprouts, Strawberry Champagne Cupcakes and a Birthday Martini.</p>
 
1
<p>As his troubled past with Jui-hsin comes to light, Wei Chung-ting helps Yun-hsiang remember her own identity. Panic spreads throughout the campus.</p><p><br /> </p>
 
1
<p>Yun-hsiang races against the clock to free herself from Jui-hsin's time loop and urges her spirit to find redemption.</p>
 
1
<p>Jealousy brews as Pearl agrees to go out on a face to face date with one of the girls.</p>
 
1
<p>Tregaye Fraser and her best friend, Barack, get their new pups together for a playdate. While the puppies play, she and Barack make a lunch featuring Blackened Chicken Salad, a Corn and Cheddar Chowder and sweet Oatmeal Chocolate Chunk Cookies.</p>
 
1
Other values (29)
29 

Length

Max length378
Median length157
Mean length147.3823529
Min length0

Characters and Unicode

Total characters5011
Distinct characters61
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row
2nd row<p>When little sister Chrissy steals something from the store while playing a game, Cory tries to be a good big brother by taking the blame himself.</p><p><br /> </p>
3rd row<p>Cory creates a superpowered lesson plan for Chrissy when she wants to be a hero in their pretend play — and she's learning to form sentences, too!</p><p><br /> </p>
4th row<p>When the Wi-Fi goes wacky while the Carsons are watching a movie, everyone's imaginations go wild to act out the film and finish the ending.</p><p><br /> </p>
5th row<p>Cory thinks none of his stuff is cool enough to follow up the best show-and-tell of all time. Will he find the perfect thing to bring in for his turn?</p><p><br /> </p>

Common Values

ValueCountFrequency (%)
<p>Chef Lovely's friends are coming to celebrate her birthday, so she cooks her favorite foods -- an Oxtail Bourguignon with Mashed Potatoes, Pancetta Brussels Sprouts, Strawberry Champagne Cupcakes and a Birthday Martini.</p>1
 
1.5%
<p>As his troubled past with Jui-hsin comes to light, Wei Chung-ting helps Yun-hsiang remember her own identity. Panic spreads throughout the campus.</p><p><br /> </p>1
 
1.5%
<p>Yun-hsiang races against the clock to free herself from Jui-hsin's time loop and urges her spirit to find redemption.</p>1
 
1.5%
<p>Jealousy brews as Pearl agrees to go out on a face to face date with one of the girls.</p>1
 
1.5%
<p>Tregaye Fraser and her best friend, Barack, get their new pups together for a playdate. While the puppies play, she and Barack make a lunch featuring Blackened Chicken Salad, a Corn and Cheddar Chowder and sweet Oatmeal Chocolate Chunk Cookies.</p>1
 
1.5%
<p>The holidays are over and it's time to go back to the outside world. What does this mean for James and Dale?</p>1
 
1.5%
<p><b>Grant, Ally, and Lily open some nice gifts from Sam.</b></p>1
 
1.5%
<p>Will Njobvu presents a look behind the scenes at the most secretive show on TV. Here he's joined by Joel Dommett, Jonathan Ross, Rita Ora, Davina McCall and Mo Gilligan.</p>1
 
1.5%
<p>The Japanese offensives and advances in Southeast Asia and the Pacific continue unabated and both Hong Kong and Wake Island fall. British and American leaders begin the Arcadia Conference to decide just how they are going to fight this war together, and there are more changes made in the German High Command on the Eastern Front, even as the Soviets make advances there.</p>1
 
1.5%
<p>After an unexpected shift in plans, the group find themselves in the remote city of Tajin, where they are immediately arrested for a crime they didn't commit.</p>1
 
1.5%
Other values (24)24
35.8%
(Missing)33
49.3%

Length

2022-09-05T21:49:08.872139image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the49
 
5.8%
to33
 
3.9%
and27
 
3.2%
a26
 
3.1%
p21
 
2.5%
in17
 
2.0%
15
 
1.8%
for9
 
1.1%
with8
 
1.0%
of8
 
1.0%
Other values (457)627
74.6%

Most occurring characters

ValueCountFrequency (%)
786
15.7%
e461
 
9.2%
a303
 
6.0%
t295
 
5.9%
s254
 
5.1%
o253
 
5.0%
i247
 
4.9%
r242
 
4.8%
n232
 
4.6%
h221
 
4.4%
Other values (51)1717
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3624
72.3%
Space Separator808
 
16.1%
Math Symbol220
 
4.4%
Uppercase Letter175
 
3.5%
Other Punctuation172
 
3.4%
Dash Punctuation12
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e461
12.7%
a303
 
8.4%
t295
 
8.1%
s254
 
7.0%
o253
 
7.0%
i247
 
6.8%
r242
 
6.7%
n232
 
6.4%
h221
 
6.1%
p162
 
4.5%
Other values (15)954
26.3%
Uppercase Letter
ValueCountFrequency (%)
C27
15.4%
T15
 
8.6%
W14
 
8.0%
S14
 
8.0%
M13
 
7.4%
A12
 
6.9%
B9
 
5.1%
G8
 
4.6%
R7
 
4.0%
J7
 
4.0%
Other values (14)49
28.0%
Other Punctuation
ValueCountFrequency (%)
/62
36.0%
.52
30.2%
,34
19.8%
'19
 
11.0%
?4
 
2.3%
!1
 
0.6%
Space Separator
ValueCountFrequency (%)
786
97.3%
 22
 
2.7%
Math Symbol
ValueCountFrequency (%)
<110
50.0%
>110
50.0%
Dash Punctuation
ValueCountFrequency (%)
-10
83.3%
2
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Latin3799
75.8%
Common1212
 
24.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e461
12.1%
a303
 
8.0%
t295
 
7.8%
s254
 
6.7%
o253
 
6.7%
i247
 
6.5%
r242
 
6.4%
n232
 
6.1%
h221
 
5.8%
p162
 
4.3%
Other values (39)1129
29.7%
Common
ValueCountFrequency (%)
786
64.9%
<110
 
9.1%
>110
 
9.1%
/62
 
5.1%
.52
 
4.3%
,34
 
2.8%
 22
 
1.8%
'19
 
1.6%
-10
 
0.8%
?4
 
0.3%
Other values (2)3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII4987
99.5%
None22
 
0.4%
Punctuation2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
786
15.8%
e461
 
9.2%
a303
 
6.1%
t295
 
5.9%
s254
 
5.1%
o253
 
5.1%
i247
 
5.0%
r242
 
4.9%
n232
 
4.7%
h221
 
4.4%
Other values (49)1693
33.9%
None
ValueCountFrequency (%)
 22
100.0%
Punctuation
ValueCountFrequency (%)
2
100.0%

rating.average
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct7
Distinct (%)38.9%
Missing49
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean8.361111111
Minimum6
Maximum9.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:08.954558image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7.7
Q18
median8.15
Q38.95
95-th percentile9.33
Maximum9.5
Range3.5
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation0.789742243
Coefficient of variation (CV)0.09445422176
Kurtosis3.775646948
Mean8.361111111
Median Absolute Deviation (MAD)0.4
Skewness-1.37026001
Sum150.5
Variance0.6236928105
MonotonicityNot monotonic
2022-09-05T21:49:09.033126image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
88
 
11.9%
8.83
 
4.5%
93
 
4.5%
61
 
1.5%
8.31
 
1.5%
9.31
 
1.5%
9.51
 
1.5%
(Missing)49
73.1%
ValueCountFrequency (%)
61
 
1.5%
88
11.9%
8.31
 
1.5%
8.83
 
4.5%
93
 
4.5%
9.31
 
1.5%
9.51
 
1.5%
ValueCountFrequency (%)
9.51
 
1.5%
9.31
 
1.5%
93
 
4.5%
8.83
 
4.5%
8.31
 
1.5%
88
11.9%
61
 
1.5%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct29
Distinct (%)100.0%
Missing38
Missing (%)56.7%
Memory size664.0 B
https://static.tvmaze.com/uploads/images/medium_landscape/290/726628.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726782.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/329/823877.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726937.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/329/823870.jpg
 
1
Other values (24)
24 

Length

Max length72
Median length72
Mean length72
Min length72

Characters and Unicode

Total characters2088
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/290/726628.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/394/985938.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/393/983024.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/393/983025.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/290/726786.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726628.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726782.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/329/823877.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726937.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/329/823870.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726893.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726777.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726776.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/289/724107.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/292/731120.jpg1
 
1.5%
Other values (19)19
28.4%
(Missing)38
56.7%

Length

2022-09-05T21:49:09.116524image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726628.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/394/985938.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/393/983024.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/393/983025.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726786.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726787.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726788.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726789.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726790.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726791.jpg1
 
3.4%
Other values (19)19
65.5%

Most occurring characters

ValueCountFrequency (%)
/203
 
9.7%
a174
 
8.3%
s145
 
6.9%
m145
 
6.9%
t145
 
6.9%
p116
 
5.6%
e116
 
5.6%
i87
 
4.2%
c87
 
4.2%
.87
 
4.2%
Other values (22)783
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1479
70.8%
Other Punctuation319
 
15.3%
Decimal Number261
 
12.5%
Connector Punctuation29
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a174
11.8%
s145
9.8%
m145
9.8%
t145
9.8%
p116
 
7.8%
e116
 
7.8%
i87
 
5.9%
c87
 
5.9%
d87
 
5.9%
l58
 
3.9%
Other values (8)319
21.6%
Decimal Number
ValueCountFrequency (%)
258
22.2%
753
20.3%
941
15.7%
028
10.7%
625
9.6%
823
 
8.8%
319
 
7.3%
45
 
1.9%
15
 
1.9%
54
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/203
63.6%
.87
27.3%
:29
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1479
70.8%
Common609
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a174
11.8%
s145
9.8%
m145
9.8%
t145
9.8%
p116
 
7.8%
e116
 
7.8%
i87
 
5.9%
c87
 
5.9%
d87
 
5.9%
l58
 
3.9%
Other values (8)319
21.6%
Common
ValueCountFrequency (%)
/203
33.3%
.87
14.3%
258
 
9.5%
753
 
8.7%
941
 
6.7%
_29
 
4.8%
:29
 
4.8%
028
 
4.6%
625
 
4.1%
823
 
3.8%
Other values (4)33
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII2088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/203
 
9.7%
a174
 
8.3%
s145
 
6.9%
m145
 
6.9%
t145
 
6.9%
p116
 
5.6%
e116
 
5.6%
i87
 
4.2%
c87
 
4.2%
.87
 
4.2%
Other values (22)783
37.5%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct29
Distinct (%)100.0%
Missing38
Missing (%)56.7%
Memory size664.0 B
https://static.tvmaze.com/uploads/images/original_untouched/290/726628.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/290/726782.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/329/823877.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/290/726937.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/329/823870.jpg
 
1
Other values (24)
24 

Length

Max length74
Median length74
Mean length74
Min length74

Characters and Unicode

Total characters2146
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/290/726628.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/394/985938.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/393/983024.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/393/983025.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/290/726786.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726628.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726782.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/329/823877.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726937.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/329/823870.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726893.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726777.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/726776.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/289/724107.jpg1
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/292/731120.jpg1
 
1.5%
Other values (19)19
28.4%
(Missing)38
56.7%

Length

2022-09-05T21:49:09.200510image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726628.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/394/985938.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/393/983024.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/393/983025.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726786.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726787.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726788.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726789.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726790.jpg1
 
3.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726791.jpg1
 
3.4%
Other values (19)19
65.5%

Most occurring characters

ValueCountFrequency (%)
/203
 
9.5%
t174
 
8.1%
a145
 
6.8%
s116
 
5.4%
o116
 
5.4%
i116
 
5.4%
m87
 
4.1%
u87
 
4.1%
e87
 
4.1%
g87
 
4.1%
Other values (23)928
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1537
71.6%
Other Punctuation319
 
14.9%
Decimal Number261
 
12.2%
Connector Punctuation29
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t174
 
11.3%
a145
 
9.4%
s116
 
7.5%
o116
 
7.5%
i116
 
7.5%
m87
 
5.7%
u87
 
5.7%
e87
 
5.7%
g87
 
5.7%
c87
 
5.7%
Other values (9)435
28.3%
Decimal Number
ValueCountFrequency (%)
258
22.2%
753
20.3%
941
15.7%
028
10.7%
625
9.6%
823
 
8.8%
319
 
7.3%
45
 
1.9%
15
 
1.9%
54
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/203
63.6%
.87
27.3%
:29
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1537
71.6%
Common609
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t174
 
11.3%
a145
 
9.4%
s116
 
7.5%
o116
 
7.5%
i116
 
7.5%
m87
 
5.7%
u87
 
5.7%
e87
 
5.7%
g87
 
5.7%
c87
 
5.7%
Other values (9)435
28.3%
Common
ValueCountFrequency (%)
/203
33.3%
.87
14.3%
258
 
9.5%
753
 
8.7%
941
 
6.7%
_29
 
4.8%
:29
 
4.8%
028
 
4.6%
625
 
4.1%
823
 
3.8%
Other values (4)33
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII2146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/203
 
9.5%
t174
 
8.1%
a145
 
6.8%
s116
 
5.4%
o116
 
5.4%
i116
 
5.4%
m87
 
4.1%
u87
 
4.1%
e87
 
4.1%
g87
 
4.1%
Other values (23)928
43.2%

_links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size664.0 B
https://api.tvmaze.com/episodes/1989493
 
1
https://api.tvmaze.com/episodes/2289330
 
1
https://api.tvmaze.com/episodes/1992713
 
1
https://api.tvmaze.com/episodes/1992714
 
1
https://api.tvmaze.com/episodes/1977188
 
1
Other values (62)
62 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters2613
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1989493
2nd rowhttps://api.tvmaze.com/episodes/2269801
3rd rowhttps://api.tvmaze.com/episodes/1993456
4th rowhttps://api.tvmaze.com/episodes/2386110
5th rowhttps://api.tvmaze.com/episodes/2138927

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19894931
 
1.5%
https://api.tvmaze.com/episodes/22893301
 
1.5%
https://api.tvmaze.com/episodes/19927131
 
1.5%
https://api.tvmaze.com/episodes/19927141
 
1.5%
https://api.tvmaze.com/episodes/19771881
 
1.5%
https://api.tvmaze.com/episodes/19947061
 
1.5%
https://api.tvmaze.com/episodes/19947071
 
1.5%
https://api.tvmaze.com/episodes/19947081
 
1.5%
https://api.tvmaze.com/episodes/19947091
 
1.5%
https://api.tvmaze.com/episodes/19975301
 
1.5%
Other values (57)57
85.1%

Length

2022-09-05T21:49:20.607606image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19894931
 
1.5%
https://api.tvmaze.com/episodes/19927151
 
1.5%
https://api.tvmaze.com/episodes/19934561
 
1.5%
https://api.tvmaze.com/episodes/23861101
 
1.5%
https://api.tvmaze.com/episodes/21389271
 
1.5%
https://api.tvmaze.com/episodes/19620591
 
1.5%
https://api.tvmaze.com/episodes/19725771
 
1.5%
https://api.tvmaze.com/episodes/19725781
 
1.5%
https://api.tvmaze.com/episodes/19942461
 
1.5%
https://api.tvmaze.com/episodes/19942471
 
1.5%
Other values (57)57
85.1%

Most occurring characters

ValueCountFrequency (%)
/268
 
10.3%
p201
 
7.7%
s201
 
7.7%
e201
 
7.7%
t201
 
7.7%
o134
 
5.1%
a134
 
5.1%
i134
 
5.1%
.134
 
5.1%
m134
 
5.1%
Other values (16)871
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1675
64.1%
Other Punctuation469
 
17.9%
Decimal Number469
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p201
12.0%
s201
12.0%
e201
12.0%
t201
12.0%
o134
8.0%
a134
8.0%
i134
8.0%
m134
8.0%
h67
 
4.0%
d67
 
4.0%
Other values (3)201
12.0%
Decimal Number
ValueCountFrequency (%)
998
20.9%
184
17.9%
251
10.9%
745
9.6%
041
8.7%
539
 
8.3%
836
 
7.7%
331
 
6.6%
425
 
5.3%
619
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/268
57.1%
.134
28.6%
:67
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin1675
64.1%
Common938
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/268
28.6%
.134
14.3%
998
 
10.4%
184
 
9.0%
:67
 
7.1%
251
 
5.4%
745
 
4.8%
041
 
4.4%
539
 
4.2%
836
 
3.8%
Other values (3)75
 
8.0%
Latin
ValueCountFrequency (%)
p201
12.0%
s201
12.0%
e201
12.0%
t201
12.0%
o134
8.0%
a134
8.0%
i134
8.0%
m134
8.0%
h67
 
4.0%
d67
 
4.0%
Other values (3)201
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/268
 
10.3%
p201
 
7.7%
s201
 
7.7%
e201
 
7.7%
t201
 
7.7%
o134
 
5.1%
a134
 
5.1%
i134
 
5.1%
.134
 
5.1%
m134
 
5.1%
Other values (16)871
33.3%

_embedded.show.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48271.1791
Minimum19667
Maximum61755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:20.722487image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum19667
5-th percentile39627
Q142592
median49206
Q352685
95-th percentile59142
Maximum61755
Range42088
Interquartile range (IQR)10093

Descriptive statistics

Standard deviation7220.43041
Coefficient of variation (CV)0.1495805684
Kurtosis2.796539404
Mean48271.1791
Median Absolute Deviation (MAD)3600
Skewness-1.079783203
Sum3234169
Variance52134615.3
MonotonicityNot monotonic
2022-09-05T21:49:20.851500image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
425928
 
11.9%
489227
 
10.4%
396277
 
10.4%
526854
 
6.0%
479122
 
3.0%
526652
 
3.0%
528982
 
3.0%
528062
 
3.0%
511252
 
3.0%
527432
 
3.0%
Other values (29)29
43.3%
ValueCountFrequency (%)
196671
 
1.5%
306061
 
1.5%
355511
 
1.5%
396277
10.4%
402321
 
1.5%
423831
 
1.5%
425928
11.9%
466891
 
1.5%
471081
 
1.5%
479122
 
3.0%
ValueCountFrequency (%)
617551
1.5%
613071
1.5%
608481
1.5%
596551
1.5%
579451
1.5%
566051
1.5%
538881
1.5%
538511
1.5%
537541
1.5%
534671
1.5%

_embedded.show.url
Categorical

HIGH CORRELATION

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size664.0 B
https://www.tvmaze.com/shows/42592/fast-furious-spy-racers
https://www.tvmaze.com/shows/48922/onyx-equinox
https://www.tvmaze.com/shows/39627/go-go-cory-carson
https://www.tvmaze.com/shows/52685/the-controllers
https://www.tvmaze.com/shows/47912/the-wolf
 
2
Other values (34)
39 

Length

Max length64
Median length60
Mean length51.44776119
Min length41

Characters and Unicode

Total characters3447
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)43.3%

Sample

1st rowhttps://www.tvmaze.com/shows/46689/poslednij-ministr
2nd rowhttps://www.tvmaze.com/shows/48597/manaki
3rd rowhttps://www.tvmaze.com/shows/35551/soul-land
4th rowhttps://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu
5th rowhttps://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/42592/fast-furious-spy-racers8
 
11.9%
https://www.tvmaze.com/shows/48922/onyx-equinox7
 
10.4%
https://www.tvmaze.com/shows/39627/go-go-cory-carson7
 
10.4%
https://www.tvmaze.com/shows/52685/the-controllers4
 
6.0%
https://www.tvmaze.com/shows/47912/the-wolf2
 
3.0%
https://www.tvmaze.com/shows/52665/a-love-so-romantic2
 
3.0%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian2
 
3.0%
https://www.tvmaze.com/shows/52806/ultimate-note2
 
3.0%
https://www.tvmaze.com/shows/51125/detention2
 
3.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
3.0%
Other values (29)29
43.3%

Length

2022-09-05T21:49:20.963208image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/42592/fast-furious-spy-racers8
 
11.9%
https://www.tvmaze.com/shows/39627/go-go-cory-carson7
 
10.4%
https://www.tvmaze.com/shows/48922/onyx-equinox7
 
10.4%
https://www.tvmaze.com/shows/52685/the-controllers4
 
6.0%
https://www.tvmaze.com/shows/47912/the-wolf2
 
3.0%
https://www.tvmaze.com/shows/52665/a-love-so-romantic2
 
3.0%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian2
 
3.0%
https://www.tvmaze.com/shows/52806/ultimate-note2
 
3.0%
https://www.tvmaze.com/shows/51125/detention2
 
3.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
3.0%
Other values (29)29
43.3%

Most occurring characters

ValueCountFrequency (%)
/335
 
9.7%
w283
 
8.2%
s277
 
8.0%
t263
 
7.6%
o236
 
6.8%
e168
 
4.9%
h154
 
4.5%
m152
 
4.4%
.134
 
3.9%
-133
 
3.9%
Other values (30)1312
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2439
70.8%
Other Punctuation536
 
15.5%
Decimal Number339
 
9.8%
Dash Punctuation133
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w283
11.6%
s277
11.4%
t263
10.8%
o236
9.7%
e168
 
6.9%
h154
 
6.3%
m152
 
6.2%
a130
 
5.3%
c103
 
4.2%
p84
 
3.4%
Other values (16)589
24.1%
Decimal Number
ValueCountFrequency (%)
261
18.0%
558
17.1%
938
11.2%
437
10.9%
634
10.0%
829
8.6%
324
 
7.1%
723
 
6.8%
118
 
5.3%
017
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/335
62.5%
.134
 
25.0%
:67
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2439
70.8%
Common1008
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w283
11.6%
s277
11.4%
t263
10.8%
o236
9.7%
e168
 
6.9%
h154
 
6.3%
m152
 
6.2%
a130
 
5.3%
c103
 
4.2%
p84
 
3.4%
Other values (16)589
24.1%
Common
ValueCountFrequency (%)
/335
33.2%
.134
 
13.3%
-133
 
13.2%
:67
 
6.6%
261
 
6.1%
558
 
5.8%
938
 
3.8%
437
 
3.7%
634
 
3.4%
829
 
2.9%
Other values (4)82
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3447
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/335
 
9.7%
w283
 
8.2%
s277
 
8.0%
t263
 
7.6%
o236
 
6.8%
e168
 
4.9%
h154
 
4.5%
m152
 
4.4%
.134
 
3.9%
-133
 
3.9%
Other values (30)1312
38.1%

_embedded.show.name
Categorical

HIGH CORRELATION

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size664.0 B
Fast & Furious: Spy Racers
Onyx Equinox
Go! Go! Cory Carson
The Controllers
The Wolf
 
2
Other values (34)
39 

Length

Max length30
Median length26
Mean length17.10447761
Min length6

Characters and Unicode

Total characters1146
Distinct characters76
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)43.3%

Sample

1st rowПоследний министр
2nd rowМаньяки
3rd rowSoul Land
4th rowXian Feng Jian Yu Lu
5th rowTokyo Joshi Pro Wrestling

Common Values

ValueCountFrequency (%)
Fast & Furious: Spy Racers8
 
11.9%
Onyx Equinox7
 
10.4%
Go! Go! Cory Carson7
 
10.4%
The Controllers4
 
6.0%
The Wolf2
 
3.0%
A Love So Romantic2
 
3.0%
Legend of Yun Qian2
 
3.0%
Ultimate Note2
 
3.0%
Detention2
 
3.0%
The Penalty Zone2
 
3.0%
Other values (29)29
43.3%

Length

2022-09-05T21:49:21.065208image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
go14
 
6.7%
the12
 
5.8%
racers8
 
3.8%
8
 
3.8%
fast8
 
3.8%
spy8
 
3.8%
furious8
 
3.8%
onyx7
 
3.4%
equinox7
 
3.4%
cory7
 
3.4%
Other values (92)121
58.2%

Most occurring characters

ValueCountFrequency (%)
141
 
12.3%
e91
 
7.9%
o90
 
7.9%
n64
 
5.6%
r61
 
5.3%
a56
 
4.9%
s54
 
4.7%
i53
 
4.6%
t44
 
3.8%
y33
 
2.9%
Other values (66)459
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter769
67.1%
Uppercase Letter197
 
17.2%
Space Separator141
 
12.3%
Other Punctuation35
 
3.1%
Decimal Number4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e91
11.8%
o90
11.7%
n64
 
8.3%
r61
 
7.9%
a56
 
7.3%
s54
 
7.0%
i53
 
6.9%
t44
 
5.7%
y33
 
4.3%
u31
 
4.0%
Other values (32)192
25.0%
Uppercase Letter
ValueCountFrequency (%)
C20
 
10.2%
S20
 
10.2%
F19
 
9.6%
T17
 
8.6%
G15
 
7.6%
W13
 
6.6%
R13
 
6.6%
O11
 
5.6%
L10
 
5.1%
E9
 
4.6%
Other values (17)50
25.4%
Other Punctuation
ValueCountFrequency (%)
!14
40.0%
:10
28.6%
&8
22.9%
'3
 
8.6%
Decimal Number
ValueCountFrequency (%)
02
50.0%
22
50.0%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin943
82.3%
Common180
 
15.7%
Cyrillic23
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e91
 
9.7%
o90
 
9.5%
n64
 
6.8%
r61
 
6.5%
a56
 
5.9%
s54
 
5.7%
i53
 
5.6%
t44
 
4.7%
y33
 
3.5%
u31
 
3.3%
Other values (42)366
38.8%
Cyrillic
ValueCountFrequency (%)
и4
17.4%
н3
13.0%
с2
 
8.7%
М1
 
4.3%
к1
 
4.3%
я1
 
4.3%
ь1
 
4.3%
а1
 
4.3%
т1
 
4.3%
р1
 
4.3%
Other values (7)7
30.4%
Common
ValueCountFrequency (%)
141
78.3%
!14
 
7.8%
:10
 
5.6%
&8
 
4.4%
'3
 
1.7%
02
 
1.1%
22
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1122
97.9%
Cyrillic23
 
2.0%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
 
12.6%
e91
 
8.1%
o90
 
8.0%
n64
 
5.7%
r61
 
5.4%
a56
 
5.0%
s54
 
4.8%
i53
 
4.7%
t44
 
3.9%
y33
 
2.9%
Other values (48)435
38.8%
Cyrillic
ValueCountFrequency (%)
и4
17.4%
н3
13.0%
с2
 
8.7%
М1
 
4.3%
к1
 
4.3%
я1
 
4.3%
ь1
 
4.3%
а1
 
4.3%
т1
 
4.3%
р1
 
4.3%
Other values (7)7
30.4%
None
ValueCountFrequency (%)
å1
100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct8
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size664.0 B
Scripted
27 
Animation
25 
Documentary
Reality
Talk Show
Other values (3)

Length

Max length11
Median length9
Mean length8.447761194
Min length6

Characters and Unicode

Total characters566
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowScripted
2nd rowDocumentary
3rd rowAnimation
4th rowAnimation
5th rowSports

Common Values

ValueCountFrequency (%)
Scripted27
40.3%
Animation25
37.3%
Documentary3
 
4.5%
Reality3
 
4.5%
Talk Show3
 
4.5%
Sports2
 
3.0%
Variety2
 
3.0%
Game Show2
 
3.0%

Length

2022-09-05T21:49:21.155142image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:21.252454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
scripted27
37.5%
animation25
34.7%
show5
 
6.9%
documentary3
 
4.2%
reality3
 
4.2%
talk3
 
4.2%
sports2
 
2.8%
variety2
 
2.8%
game2
 
2.8%

Most occurring characters

ValueCountFrequency (%)
i82
14.5%
t62
11.0%
n53
9.4%
a38
 
6.7%
e37
 
6.5%
o35
 
6.2%
S34
 
6.0%
r34
 
6.0%
m30
 
5.3%
c30
 
5.3%
Other values (16)131
23.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter489
86.4%
Uppercase Letter72
 
12.7%
Space Separator5
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i82
16.8%
t62
12.7%
n53
10.8%
a38
7.8%
e37
7.6%
o35
7.2%
r34
7.0%
m30
 
6.1%
c30
 
6.1%
p29
 
5.9%
Other values (8)59
12.1%
Uppercase Letter
ValueCountFrequency (%)
S34
47.2%
A25
34.7%
D3
 
4.2%
T3
 
4.2%
R3
 
4.2%
V2
 
2.8%
G2
 
2.8%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin561
99.1%
Common5
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
i82
14.6%
t62
11.1%
n53
9.4%
a38
 
6.8%
e37
 
6.6%
o35
 
6.2%
S34
 
6.1%
r34
 
6.1%
m30
 
5.3%
c30
 
5.3%
Other values (15)126
22.5%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII566
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i82
14.5%
t62
11.0%
n53
9.4%
a38
 
6.7%
e37
 
6.5%
o35
 
6.2%
S34
 
6.0%
r34
 
6.0%
m30
 
5.3%
c30
 
5.3%
Other values (16)131
23.1%

_embedded.show.language
Categorical

HIGH CORRELATION

Distinct10
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size664.0 B
English
33 
Chinese
19 
Norwegian
 
3
Russian
 
2
Japanese
 
2
Other values (5)

Length

Max length9
Median length7
Mean length6.955223881
Min length4

Characters and Unicode

Total characters466
Distinct characters25
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)3.0%

Sample

1st rowRussian
2nd rowRussian
3rd rowChinese
4th rowChinese
5th rowJapanese

Common Values

ValueCountFrequency (%)
English33
49.3%
Chinese19
28.4%
Norwegian3
 
4.5%
Russian2
 
3.0%
Japanese2
 
3.0%
Korean2
 
3.0%
Thai2
 
3.0%
Tagalog2
 
3.0%
Dutch1
 
1.5%
Arabic1
 
1.5%

Length

2022-09-05T21:49:21.338530image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:21.439551image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
english33
49.3%
chinese19
28.4%
norwegian3
 
4.5%
russian2
 
3.0%
japanese2
 
3.0%
korean2
 
3.0%
thai2
 
3.0%
tagalog2
 
3.0%
dutch1
 
1.5%
arabic1
 
1.5%

Most occurring characters

ValueCountFrequency (%)
n61
13.1%
i60
12.9%
s58
12.4%
h55
11.8%
e47
10.1%
g40
8.6%
l35
7.5%
E33
7.1%
C19
 
4.1%
a18
 
3.9%
Other values (15)40
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter399
85.6%
Uppercase Letter67
 
14.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n61
15.3%
i60
15.0%
s58
14.5%
h55
13.8%
e47
11.8%
g40
10.0%
l35
8.8%
a18
 
4.5%
o7
 
1.8%
r6
 
1.5%
Other values (6)12
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
E33
49.3%
C19
28.4%
T4
 
6.0%
N3
 
4.5%
R2
 
3.0%
J2
 
3.0%
K2
 
3.0%
D1
 
1.5%
A1
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Latin466
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n61
13.1%
i60
12.9%
s58
12.4%
h55
11.8%
e47
10.1%
g40
8.6%
l35
7.5%
E33
7.1%
C19
 
4.1%
a18
 
3.9%
Other values (15)40
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n61
13.1%
i60
12.9%
s58
12.4%
h55
11.8%
e47
10.1%
g40
8.6%
l35
7.5%
E33
7.1%
C19
 
4.1%
a18
 
3.9%
Other values (15)40
8.6%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size664.0 B

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size664.0 B
Ended
38 
Running
18 
To Be Determined
11 

Length

Max length16
Median length5
Mean length7.343283582
Min length5

Characters and Unicode

Total characters492
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnded
2nd rowTo Be Determined
3rd rowRunning
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Ended38
56.7%
Running18
26.9%
To Be Determined11
 
16.4%

Length

2022-09-05T21:49:21.526419image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:21.611385image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
ended38
42.7%
running18
20.2%
to11
 
12.4%
be11
 
12.4%
determined11
 
12.4%

Most occurring characters

ValueCountFrequency (%)
n103
20.9%
d87
17.7%
e82
16.7%
E38
 
7.7%
i29
 
5.9%
22
 
4.5%
R18
 
3.7%
u18
 
3.7%
g18
 
3.7%
T11
 
2.2%
Other values (6)66
13.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter381
77.4%
Uppercase Letter89
 
18.1%
Space Separator22
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n103
27.0%
d87
22.8%
e82
21.5%
i29
 
7.6%
u18
 
4.7%
g18
 
4.7%
o11
 
2.9%
t11
 
2.9%
r11
 
2.9%
m11
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
E38
42.7%
R18
20.2%
T11
 
12.4%
B11
 
12.4%
D11
 
12.4%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin470
95.5%
Common22
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n103
21.9%
d87
18.5%
e82
17.4%
E38
 
8.1%
i29
 
6.2%
R18
 
3.8%
u18
 
3.8%
g18
 
3.8%
T11
 
2.3%
o11
 
2.3%
Other values (5)55
11.7%
Common
ValueCountFrequency (%)
22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n103
20.9%
d87
17.7%
e82
16.7%
E38
 
7.7%
i29
 
5.9%
22
 
4.5%
R18
 
3.7%
u18
 
3.7%
g18
 
3.7%
T11
 
2.2%
Other values (6)66
13.4%

_embedded.show.runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct13
Distinct (%)27.1%
Missing19
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean31.20833333
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:21.680563image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q113.75
median24.5
Q345
95-th percentile60
Maximum120
Range116
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation24.61616692
Coefficient of variation (CV)0.7887690334
Kurtosis5.410359025
Mean31.20833333
Median Absolute Deviation (MAD)16.5
Skewness1.974174575
Sum1498
Variance605.9556738
MonotonicityNot monotonic
2022-09-05T21:49:21.769031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4511
16.4%
88
11.9%
247
 
10.4%
254
 
6.0%
303
 
4.5%
603
 
4.5%
202
 
3.0%
1202
 
3.0%
42
 
3.0%
152
 
3.0%
Other values (3)4
 
6.0%
(Missing)19
28.4%
ValueCountFrequency (%)
42
 
3.0%
88
11.9%
102
 
3.0%
152
 
3.0%
202
 
3.0%
231
 
1.5%
247
10.4%
254
6.0%
303
 
4.5%
401
 
1.5%
ValueCountFrequency (%)
1202
 
3.0%
603
 
4.5%
4511
16.4%
401
 
1.5%
303
 
4.5%
254
 
6.0%
247
10.4%
231
 
1.5%
202
 
3.0%
152
 
3.0%

_embedded.show.averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct22
Distinct (%)34.9%
Missing4
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean30.82539683
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:21.849046image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q119
median24
Q345
95-th percentile59.6
Maximum120
Range116
Interquartile range (IQR)26

Descriptive statistics

Standard deviation22.10352452
Coefficient of variation (CV)0.7170556358
Kurtosis6.762701856
Mean30.82539683
Median Absolute Deviation (MAD)15
Skewness2.095327472
Sum1942
Variance488.5657962
MonotonicityNot monotonic
2022-09-05T21:49:21.947656image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2415
22.4%
4512
17.9%
87
10.4%
304
 
6.0%
254
 
6.0%
42
 
3.0%
1202
 
3.0%
602
 
3.0%
512
 
3.0%
561
 
1.5%
Other values (12)12
17.9%
(Missing)4
 
6.0%
ValueCountFrequency (%)
42
 
3.0%
71
 
1.5%
87
10.4%
91
 
1.5%
101
 
1.5%
111
 
1.5%
151
 
1.5%
171
 
1.5%
181
 
1.5%
201
 
1.5%
ValueCountFrequency (%)
1202
 
3.0%
602
 
3.0%
561
 
1.5%
512
 
3.0%
4512
17.9%
431
 
1.5%
401
 
1.5%
304
 
6.0%
271
 
1.5%
254
 
6.0%

_embedded.show.premiered
Categorical

HIGH CORRELATION

Distinct35
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size664.0 B
2019-12-26
2020-11-21
2020-01-04
2020-12-26
2020-12-21
 
3
Other values (30)
36 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters670
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)35.8%

Sample

1st row2020-03-26
2nd row2020-05-22
3rd row2018-01-13
4th row2020-07-11
5th row2013-01-30

Common Values

ValueCountFrequency (%)
2019-12-268
 
11.9%
2020-11-217
 
10.4%
2020-01-047
 
10.4%
2020-12-266
 
9.0%
2020-12-213
 
4.5%
2020-12-162
 
3.0%
2020-12-102
 
3.0%
2020-11-192
 
3.0%
2020-12-242
 
3.0%
2020-11-142
 
3.0%
Other values (25)26
38.8%

Length

2022-09-05T21:49:22.037146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-12-268
 
11.9%
2020-01-047
 
10.4%
2020-11-217
 
10.4%
2020-12-266
 
9.0%
2020-12-213
 
4.5%
2020-12-162
 
3.0%
2020-12-102
 
3.0%
2020-11-192
 
3.0%
2020-12-242
 
3.0%
2020-11-142
 
3.0%
Other values (25)26
38.8%

Most occurring characters

ValueCountFrequency (%)
2184
27.5%
0158
23.6%
-134
20.0%
1119
17.8%
920
 
3.0%
620
 
3.0%
415
 
2.2%
39
 
1.3%
54
 
0.6%
74
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number536
80.0%
Dash Punctuation134
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2184
34.3%
0158
29.5%
1119
22.2%
920
 
3.7%
620
 
3.7%
415
 
2.8%
39
 
1.7%
54
 
0.7%
74
 
0.7%
83
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
-134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2184
27.5%
0158
23.6%
-134
20.0%
1119
17.8%
920
 
3.0%
620
 
3.0%
415
 
2.2%
39
 
1.3%
54
 
0.6%
74
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2184
27.5%
0158
23.6%
-134
20.0%
1119
17.8%
920
 
3.0%
620
 
3.0%
415
 
2.2%
39
 
1.3%
54
 
0.6%
74
 
0.6%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)28.9%
Missing29
Missing (%)43.3%
Memory size664.0 B
2020-12-26
2021-12-17
2021-01-09
2021-01-19
2021-01-02
Other values (6)

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters380
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)7.9%

Sample

1st row2022-02-19
2nd row2021-01-04
3rd row2021-01-04
4th row2021-01-28
5th row2021-01-28

Common Values

ValueCountFrequency (%)
2020-12-269
 
13.4%
2021-12-178
 
11.9%
2021-01-095
 
7.5%
2021-01-194
 
6.0%
2021-01-023
 
4.5%
2021-01-042
 
3.0%
2021-01-282
 
3.0%
2020-12-312
 
3.0%
2022-02-191
 
1.5%
2021-08-211
 
1.5%
(Missing)29
43.3%

Length

2022-09-05T21:49:22.117987image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-269
23.7%
2021-12-178
21.1%
2021-01-095
13.2%
2021-01-194
10.5%
2021-01-023
 
7.9%
2021-01-042
 
5.3%
2021-01-282
 
5.3%
2020-12-312
 
5.3%
2022-02-191
 
2.6%
2021-08-211
 
2.6%

Most occurring characters

ValueCountFrequency (%)
2113
29.7%
078
20.5%
178
20.5%
-76
20.0%
910
 
2.6%
69
 
2.4%
78
 
2.1%
83
 
0.8%
33
 
0.8%
42
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number304
80.0%
Dash Punctuation76
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2113
37.2%
078
25.7%
178
25.7%
910
 
3.3%
69
 
3.0%
78
 
2.6%
83
 
1.0%
33
 
1.0%
42
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
-76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2113
29.7%
078
20.5%
178
20.5%
-76
20.0%
910
 
2.6%
69
 
2.4%
78
 
2.1%
83
 
0.8%
33
 
0.8%
42
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2113
29.7%
078
20.5%
178
20.5%
-76
20.0%
910
 
2.6%
69
 
2.4%
78
 
2.1%
83
 
0.8%
33
 
0.8%
42
 
0.5%

_embedded.show.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct32
Distinct (%)58.2%
Missing12
Missing (%)17.9%
Memory size664.0 B
https://www.netflix.com/title/80225085
https://www.crunchyroll.com/onyx-equinox
https://www.netflix.com/title/80237347
https://www.netflix.com/title/81329144
 
2
https://www.iqiyi.com/a_19rrhllpip.html
 
2
Other values (27)
29 

Length

Max length102
Median length78
Mean length45.98181818
Min length23

Characters and Unicode

Total characters2529
Distinct characters71
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)45.5%

Sample

1st rowhttps://hd.kinopoisk.ru/film/4cdfa8166bdf70b29ee3d4e1379e7a7c
2nd rowhttps://premier.one/show/12420
3rd rowhttps://v.qq.com/detail/m/m441e3rjq9kwpsc.html
4th rowhttps://v.qq.com/detail/m/mzc00200hc38s5x.html
5th rowhttps://www.ddtpro.com/

Common Values

ValueCountFrequency (%)
https://www.netflix.com/title/802250858
 
11.9%
https://www.crunchyroll.com/onyx-equinox7
 
10.4%
https://www.netflix.com/title/802373477
 
10.4%
https://www.netflix.com/title/813291442
 
3.0%
https://www.iqiyi.com/a_19rrhllpip.html2
 
3.0%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
3.0%
https://www.iqiyi.com/lib/m_213579814.html2
 
3.0%
https://tv.nrk.no/serie/familiekokkene1
 
1.5%
https://www.youtube.com/channel/UCPDXXXJj9nax0fr0Wfc048g1
 
1.5%
https://www.tv-asahi.co.jp/saber/1
 
1.5%
Other values (22)22
32.8%
(Missing)12
17.9%

Length

2022-09-05T21:49:22.220564image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.netflix.com/title/802250858
 
14.5%
https://www.netflix.com/title/802373477
 
12.7%
https://www.crunchyroll.com/onyx-equinox7
 
12.7%
https://www.netflix.com/title/813291442
 
3.6%
https://www.iqiyi.com/a_19rrhllpip.html2
 
3.6%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
3.6%
https://www.iqiyi.com/lib/m_213579814.html2
 
3.6%
https://tv.nrk.no/serie/labyrint1
 
1.8%
https://www.youtube.com/c/worldwartwo/playlists?view=50&sort=dd&shelf_id=51
 
1.8%
https://www.youtube.com/playlist?list=plm4dcg8d7ktbmaxfqmdxy1ctk8h4knri1
 
1.8%
Other values (22)22
40.0%

Most occurring characters

ValueCountFrequency (%)
t216
 
8.5%
/215
 
8.5%
w152
 
6.0%
.118
 
4.7%
i111
 
4.4%
e107
 
4.2%
o105
 
4.2%
s105
 
4.2%
l98
 
3.9%
h97
 
3.8%
Other values (61)1205
47.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1695
67.0%
Other Punctuation403
 
15.9%
Decimal Number286
 
11.3%
Uppercase Letter98
 
3.9%
Dash Punctuation29
 
1.1%
Math Symbol9
 
0.4%
Connector Punctuation9
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t216
12.7%
w152
 
9.0%
i111
 
6.5%
e107
 
6.3%
o105
 
6.2%
s105
 
6.2%
l98
 
5.8%
h97
 
5.7%
c85
 
5.0%
p80
 
4.7%
Other values (16)539
31.8%
Uppercase Letter
ValueCountFrequency (%)
P8
 
8.2%
C6
 
6.1%
L6
 
6.1%
A5
 
5.1%
K5
 
5.1%
T5
 
5.1%
W5
 
5.1%
Y5
 
5.1%
D5
 
5.1%
Q5
 
5.1%
Other values (16)43
43.9%
Decimal Number
ValueCountFrequency (%)
046
16.1%
242
14.7%
838
13.3%
330
10.5%
530
10.5%
429
10.1%
724
8.4%
122
7.7%
914
 
4.9%
611
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/215
53.3%
.118
29.3%
:55
 
13.6%
?6
 
1.5%
%6
 
1.5%
&3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
-29
100.0%
Math Symbol
ValueCountFrequency (%)
=9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1793
70.9%
Common736
29.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t216
 
12.0%
w152
 
8.5%
i111
 
6.2%
e107
 
6.0%
o105
 
5.9%
s105
 
5.9%
l98
 
5.5%
h97
 
5.4%
c85
 
4.7%
p80
 
4.5%
Other values (42)637
35.5%
Common
ValueCountFrequency (%)
/215
29.2%
.118
16.0%
:55
 
7.5%
046
 
6.2%
242
 
5.7%
838
 
5.2%
330
 
4.1%
530
 
4.1%
-29
 
3.9%
429
 
3.9%
Other values (9)104
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t216
 
8.5%
/215
 
8.5%
w152
 
6.0%
.118
 
4.7%
i111
 
4.4%
e107
 
4.2%
o105
 
4.2%
s105
 
4.2%
l98
 
3.9%
h97
 
3.8%
Other values (61)1205
47.6%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct11
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size664.0 B
42 
16:00
20:00
10:00
 
2
12:00
 
2
Other values (6)

Length

Max length5
Median length0
Mean length1.865671642
Min length0

Characters and Unicode

Total characters125
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)6.0%

Sample

1st row
2nd row
3rd row10:00
4th row10:00
5th row12:00

Common Values

ValueCountFrequency (%)
42
62.7%
16:007
 
10.4%
20:006
 
9.0%
10:002
 
3.0%
12:002
 
3.0%
19:002
 
3.0%
18:002
 
3.0%
11:001
 
1.5%
17:001
 
1.5%
20:451
 
1.5%

Length

2022-09-05T21:49:22.322518image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16:007
28.0%
20:006
24.0%
10:002
 
8.0%
12:002
 
8.0%
19:002
 
8.0%
18:002
 
8.0%
11:001
 
4.0%
17:001
 
4.0%
20:451
 
4.0%
00:001
 
4.0%

Most occurring characters

ValueCountFrequency (%)
059
47.2%
:25
20.0%
118
 
14.4%
29
 
7.2%
67
 
5.6%
92
 
1.6%
82
 
1.6%
71
 
0.8%
41
 
0.8%
51
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number100
80.0%
Other Punctuation25
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
059
59.0%
118
 
18.0%
29
 
9.0%
67
 
7.0%
92
 
2.0%
82
 
2.0%
71
 
1.0%
41
 
1.0%
51
 
1.0%
Other Punctuation
ValueCountFrequency (%)
:25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common125
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
059
47.2%
:25
20.0%
118
 
14.4%
29
 
7.2%
67
 
5.6%
92
 
1.6%
82
 
1.6%
71
 
0.8%
41
 
0.8%
51
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
059
47.2%
:25
20.0%
118
 
14.4%
29
 
7.2%
67
 
5.6%
92
 
1.6%
82
 
1.6%
71
 
0.8%
41
 
0.8%
51
 
0.8%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size664.0 B

_embedded.show.rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4
Distinct (%)23.5%
Missing50
Missing (%)74.6%
Memory size664.0 B
6.7
5.0
7.7
7.3

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters51
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)11.8%

Sample

1st row7.7
2nd row7.3
3rd row6.7
4th row6.7
5th row6.7

Common Values

ValueCountFrequency (%)
6.78
 
11.9%
5.07
 
10.4%
7.71
 
1.5%
7.31
 
1.5%
(Missing)50
74.6%

Length

2022-09-05T21:49:22.425930image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:22.546739image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
6.78
47.1%
5.07
41.2%
7.71
 
5.9%
7.31
 
5.9%

Most occurring characters

ValueCountFrequency (%)
.17
33.3%
711
21.6%
68
15.7%
57
13.7%
07
13.7%
31
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number34
66.7%
Other Punctuation17
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
711
32.4%
68
23.5%
57
20.6%
07
20.6%
31
 
2.9%
Other Punctuation
ValueCountFrequency (%)
.17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common51
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
.17
33.3%
711
21.6%
68
15.7%
57
13.7%
07
13.7%
31
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII51
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
.17
33.3%
711
21.6%
68
15.7%
57
13.7%
07
13.7%
31
 
2.0%

_embedded.show.weight
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct30
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.28358209
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:22.658688image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.3
Q121
median34
Q349
95-th percentile83
Maximum91
Range90
Interquartile range (IQR)28

Descriptive statistics

Standard deviation25.83385491
Coefficient of variation (CV)0.6576247261
Kurtosis-0.8110340582
Mean39.28358209
Median Absolute Deviation (MAD)13
Skewness0.5549554733
Sum2632
Variance667.3880597
MonotonicityNot monotonic
2022-09-05T21:49:22.754069image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
838
 
11.9%
468
 
11.9%
98
 
11.9%
217
 
10.4%
305
 
7.5%
42
 
3.0%
442
 
3.0%
382
 
3.0%
232
 
3.0%
452
 
3.0%
Other values (20)21
31.3%
ValueCountFrequency (%)
11
 
1.5%
42
 
3.0%
81
 
1.5%
98
11.9%
161
 
1.5%
192
 
3.0%
217
10.4%
232
 
3.0%
241
 
1.5%
251
 
1.5%
ValueCountFrequency (%)
911
 
1.5%
881
 
1.5%
838
11.9%
791
 
1.5%
741
 
1.5%
701
 
1.5%
651
 
1.5%
631
 
1.5%
621
 
1.5%
521
 
1.5%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show.webChannel.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct25
Distinct (%)37.9%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean120.6818182
Minimum1
Maximum533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:22.838690image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median40.5
Q3226
95-th percentile412.5
Maximum533
Range532
Interquartile range (IQR)221.5

Descriptive statistics

Standard deviation146.7009684
Coefficient of variation (CV)1.215601245
Kurtosis0.08558983844
Mean120.6818182
Median Absolute Deviation (MAD)39.5
Skewness1.131175923
Sum7965
Variance21521.17413
MonotonicityNot monotonic
2022-09-05T21:49:22.946466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
117
25.4%
207
10.4%
217
10.4%
1044
 
6.0%
674
 
6.0%
2264
 
6.0%
2383
 
4.5%
1182
 
3.0%
4452
 
3.0%
4141
 
1.5%
Other values (15)15
22.4%
ValueCountFrequency (%)
117
25.4%
151
 
1.5%
207
10.4%
217
10.4%
301
 
1.5%
511
 
1.5%
541
 
1.5%
674
 
6.0%
1044
 
6.0%
1182
 
3.0%
ValueCountFrequency (%)
5331
1.5%
4452
3.0%
4141
1.5%
4081
1.5%
3811
1.5%
3791
1.5%
3671
1.5%
3211
1.5%
3041
1.5%
2941
1.5%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct25
Distinct (%)37.9%
Missing1
Missing (%)1.5%
Memory size664.0 B
Netflix
17 
Crunchyroll
YouTube
Tencent QQ
iQIYI
Other values (20)
27 

Length

Max length12
Median length11
Mean length7.787878788
Min length4

Characters and Unicode

Total characters514
Distinct characters51
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)24.2%

Sample

1st rowКиноПоиск HD
2nd rowPremier
3rd rowTencent QQ
4th rowTencent QQ
5th rowDDTUniverse

Common Values

ValueCountFrequency (%)
Netflix17
25.4%
Crunchyroll7
10.4%
YouTube7
10.4%
Tencent QQ4
 
6.0%
iQIYI4
 
6.0%
Mango TV4
 
6.0%
NRK TV3
 
4.5%
Youku2
 
3.0%
CTI TV2
 
3.0%
Blued1
 
1.5%
Other values (15)15
22.4%

Length

2022-09-05T21:49:23.064920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
netflix17
20.2%
tv10
11.9%
crunchyroll7
 
8.3%
youtube7
 
8.3%
tencent4
 
4.8%
qq4
 
4.8%
iqiyi4
 
4.8%
mango4
 
4.8%
nrk3
 
3.6%
cti2
 
2.4%
Other values (21)22
26.2%

Most occurring characters

ValueCountFrequency (%)
e43
 
8.4%
l37
 
7.2%
i30
 
5.8%
T28
 
5.4%
u28
 
5.4%
o27
 
5.3%
t26
 
5.1%
r23
 
4.5%
N22
 
4.3%
n20
 
3.9%
Other values (41)230
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter351
68.3%
Uppercase Letter144
28.0%
Space Separator18
 
3.5%
Math Symbol1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e43
12.3%
l37
10.5%
i30
 
8.5%
u28
 
8.0%
o27
 
7.7%
t26
 
7.4%
r23
 
6.6%
n20
 
5.7%
f17
 
4.8%
x17
 
4.8%
Other values (17)83
23.6%
Uppercase Letter
ValueCountFrequency (%)
T28
19.4%
N22
15.3%
V13
9.0%
Y13
9.0%
Q12
8.3%
I11
 
7.6%
C11
 
7.6%
M4
 
2.8%
K4
 
2.8%
W4
 
2.8%
Other values (12)22
15.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Math Symbol
ValueCountFrequency (%)
+1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin486
94.6%
Common19
 
3.7%
Cyrillic9
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e43
 
8.8%
l37
 
7.6%
i30
 
6.2%
T28
 
5.8%
u28
 
5.8%
o27
 
5.6%
t26
 
5.3%
r23
 
4.7%
N22
 
4.5%
n20
 
4.1%
Other values (32)202
41.6%
Cyrillic
ValueCountFrequency (%)
и2
22.2%
о2
22.2%
П1
11.1%
к1
11.1%
с1
11.1%
н1
11.1%
К1
11.1%
Common
ValueCountFrequency (%)
18
94.7%
+1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII505
98.2%
Cyrillic9
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e43
 
8.5%
l37
 
7.3%
i30
 
5.9%
T28
 
5.5%
u28
 
5.5%
o27
 
5.3%
t26
 
5.1%
r23
 
4.6%
N22
 
4.4%
n20
 
4.0%
Other values (34)221
43.8%
Cyrillic
ValueCountFrequency (%)
и2
22.2%
о2
22.2%
П1
11.1%
к1
11.1%
с1
11.1%
н1
11.1%
К1
11.1%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)30.8%
Missing41
Missing (%)61.2%
Memory size664.0 B
China
12 
Norway
Russian Federation
Japan
Taiwan, Province of China
Other values (3)

Length

Max length25
Median length5
Mean length9.615384615
Min length5

Characters and Unicode

Total characters250
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowRussian Federation
2nd rowRussian Federation
3rd rowChina
4th rowChina
5th rowJapan

Common Values

ValueCountFrequency (%)
China12
 
17.9%
Norway3
 
4.5%
Russian Federation2
 
3.0%
Japan2
 
3.0%
Taiwan, Province of China2
 
3.0%
Korea, Republic of2
 
3.0%
United States2
 
3.0%
United Kingdom1
 
1.5%
(Missing)41
61.2%

Length

2022-09-05T21:49:23.221282image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:23.381668image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
china14
34.1%
of4
 
9.8%
norway3
 
7.3%
united3
 
7.3%
russian2
 
4.9%
federation2
 
4.9%
japan2
 
4.9%
taiwan2
 
4.9%
province2
 
4.9%
korea2
 
4.9%
Other values (3)5
 
12.2%

Most occurring characters

ValueCountFrequency (%)
a33
13.2%
i28
 
11.2%
n28
 
11.2%
e15
 
6.0%
15
 
6.0%
C14
 
5.6%
o14
 
5.6%
h14
 
5.6%
t9
 
3.6%
r9
 
3.6%
Other values (23)71
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter194
77.6%
Uppercase Letter37
 
14.8%
Space Separator15
 
6.0%
Other Punctuation4
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a33
17.0%
i28
14.4%
n28
14.4%
e15
7.7%
o14
7.2%
h14
7.2%
t9
 
4.6%
r9
 
4.6%
s6
 
3.1%
d6
 
3.1%
Other values (11)32
16.5%
Uppercase Letter
ValueCountFrequency (%)
C14
37.8%
R4
 
10.8%
K3
 
8.1%
N3
 
8.1%
U3
 
8.1%
S2
 
5.4%
P2
 
5.4%
T2
 
5.4%
J2
 
5.4%
F2
 
5.4%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
,4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin231
92.4%
Common19
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a33
14.3%
i28
12.1%
n28
12.1%
e15
 
6.5%
C14
 
6.1%
o14
 
6.1%
h14
 
6.1%
t9
 
3.9%
r9
 
3.9%
s6
 
2.6%
Other values (21)61
26.4%
Common
ValueCountFrequency (%)
15
78.9%
,4
 
21.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a33
13.2%
i28
 
11.2%
n28
 
11.2%
e15
 
6.0%
15
 
6.0%
C14
 
5.6%
o14
 
5.6%
h14
 
5.6%
t9
 
3.6%
r9
 
3.6%
Other values (23)71
28.4%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)30.8%
Missing41
Missing (%)61.2%
Memory size664.0 B
CN
12 
NO
RU
JP
TW
Other values (3)

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters52
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowRU
2nd rowRU
3rd rowCN
4th rowCN
5th rowJP

Common Values

ValueCountFrequency (%)
CN12
 
17.9%
NO3
 
4.5%
RU2
 
3.0%
JP2
 
3.0%
TW2
 
3.0%
KR2
 
3.0%
US2
 
3.0%
GB1
 
1.5%
(Missing)41
61.2%

Length

2022-09-05T21:49:23.469663image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:23.566410image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
cn12
46.2%
no3
 
11.5%
ru2
 
7.7%
jp2
 
7.7%
tw2
 
7.7%
kr2
 
7.7%
us2
 
7.7%
gb1
 
3.8%

Most occurring characters

ValueCountFrequency (%)
N15
28.8%
C12
23.1%
R4
 
7.7%
U4
 
7.7%
O3
 
5.8%
J2
 
3.8%
P2
 
3.8%
T2
 
3.8%
W2
 
3.8%
K2
 
3.8%
Other values (3)4
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter52
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N15
28.8%
C12
23.1%
R4
 
7.7%
U4
 
7.7%
O3
 
5.8%
J2
 
3.8%
P2
 
3.8%
T2
 
3.8%
W2
 
3.8%
K2
 
3.8%
Other values (3)4
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Latin52
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N15
28.8%
C12
23.1%
R4
 
7.7%
U4
 
7.7%
O3
 
5.8%
J2
 
3.8%
P2
 
3.8%
T2
 
3.8%
W2
 
3.8%
K2
 
3.8%
Other values (3)4
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII52
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N15
28.8%
C12
23.1%
R4
 
7.7%
U4
 
7.7%
O3
 
5.8%
J2
 
3.8%
P2
 
3.8%
T2
 
3.8%
W2
 
3.8%
K2
 
3.8%
Other values (3)4
 
7.7%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct8
Distinct (%)30.8%
Missing41
Missing (%)61.2%
Memory size664.0 B
Asia/Shanghai
12 
Europe/Oslo
Asia/Kamchatka
Asia/Tokyo
Asia/Taipei
Other values (3)

Length

Max length16
Median length15
Mean length12.46153846
Min length10

Characters and Unicode

Total characters324
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowAsia/Kamchatka
2nd rowAsia/Kamchatka
3rd rowAsia/Shanghai
4th rowAsia/Shanghai
5th rowAsia/Tokyo

Common Values

ValueCountFrequency (%)
Asia/Shanghai12
 
17.9%
Europe/Oslo3
 
4.5%
Asia/Kamchatka2
 
3.0%
Asia/Tokyo2
 
3.0%
Asia/Taipei2
 
3.0%
Asia/Seoul2
 
3.0%
America/New_York2
 
3.0%
Europe/London1
 
1.5%
(Missing)41
61.2%

Length

2022-09-05T21:49:23.661621image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:23.760845image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/shanghai12
46.2%
europe/oslo3
 
11.5%
asia/kamchatka2
 
7.7%
asia/tokyo2
 
7.7%
asia/taipei2
 
7.7%
asia/seoul2
 
7.7%
america/new_york2
 
7.7%
europe/london1
 
3.8%

Most occurring characters

ValueCountFrequency (%)
a54
16.7%
i38
11.7%
/26
 
8.0%
h26
 
8.0%
s23
 
7.1%
A22
 
6.8%
o17
 
5.2%
S14
 
4.3%
n14
 
4.3%
g12
 
3.7%
Other values (20)78
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter242
74.7%
Uppercase Letter54
 
16.7%
Other Punctuation26
 
8.0%
Connector Punctuation2
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a54
22.3%
i38
15.7%
h26
10.7%
s23
9.5%
o17
 
7.0%
n14
 
5.8%
g12
 
5.0%
e12
 
5.0%
r8
 
3.3%
p6
 
2.5%
Other values (9)32
13.2%
Uppercase Letter
ValueCountFrequency (%)
A22
40.7%
S14
25.9%
E4
 
7.4%
T4
 
7.4%
O3
 
5.6%
K2
 
3.7%
N2
 
3.7%
Y2
 
3.7%
L1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin296
91.4%
Common28
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a54
18.2%
i38
12.8%
h26
8.8%
s23
 
7.8%
A22
 
7.4%
o17
 
5.7%
S14
 
4.7%
n14
 
4.7%
g12
 
4.1%
e12
 
4.1%
Other values (18)64
21.6%
Common
ValueCountFrequency (%)
/26
92.9%
_2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a54
16.7%
i38
11.7%
/26
 
8.0%
h26
 
8.0%
s23
 
7.1%
A22
 
6.8%
o17
 
5.2%
S14
 
4.3%
n14
 
4.3%
g12
 
3.7%
Other values (20)78
24.1%

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct10
Distinct (%)24.4%
Missing26
Missing (%)38.8%
Memory size664.0 B
https://www.netflix.com/
17 
https://www.youtube.com
https://v.qq.com/
https://w.mgtv.com/
https://www.iq.com/
Other values (5)

Length

Max length30
Median length24
Mean length22.07317073
Min length17

Characters and Unicode

Total characters905
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)12.2%

Sample

1st rowhttps://hd.kinopoisk.ru/
2nd rowhttps://v.qq.com/
3rd rowhttps://v.qq.com/
4th rowhttps://v.qq.com/
5th rowhttps://v.qq.com/

Common Values

ValueCountFrequency (%)
https://www.netflix.com/17
25.4%
https://www.youtube.com7
 
10.4%
https://v.qq.com/4
 
6.0%
https://w.mgtv.com/4
 
6.0%
https://www.iq.com/4
 
6.0%
https://hd.kinopoisk.ru/1
 
1.5%
https://tv.kakao.com/top1
 
1.5%
https://tv.naver.com/1
 
1.5%
https://wetv.vip/1
 
1.5%
https://www.discoveryplus.com/1
 
1.5%
(Missing)26
38.8%

Length

2022-09-05T21:49:23.850403image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:23.961881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
https://www.netflix.com17
41.5%
https://www.youtube.com7
17.1%
https://v.qq.com4
 
9.8%
https://w.mgtv.com4
 
9.8%
https://www.iq.com4
 
9.8%
https://hd.kinopoisk.ru1
 
2.4%
https://tv.kakao.com/top1
 
2.4%
https://tv.naver.com1
 
2.4%
https://wetv.vip1
 
2.4%
https://www.discoveryplus.com1
 
2.4%

Most occurring characters

ValueCountFrequency (%)
/116
12.8%
t114
12.6%
w92
 
10.2%
.81
 
9.0%
o51
 
5.6%
p45
 
5.0%
s44
 
4.9%
m43
 
4.8%
h42
 
4.6%
:41
 
4.5%
Other values (17)236
26.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter667
73.7%
Other Punctuation238
 
26.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t114
17.1%
w92
13.8%
o51
 
7.6%
p45
 
6.7%
s44
 
6.6%
m43
 
6.4%
h42
 
6.3%
c40
 
6.0%
e27
 
4.0%
i25
 
3.7%
Other values (14)144
21.6%
Other Punctuation
ValueCountFrequency (%)
/116
48.7%
.81
34.0%
:41
 
17.2%

Most occurring scripts

ValueCountFrequency (%)
Latin667
73.7%
Common238
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t114
17.1%
w92
13.8%
o51
 
7.6%
p45
 
6.7%
s44
 
6.6%
m43
 
6.4%
h42
 
6.3%
c40
 
6.0%
e27
 
4.0%
i25
 
3.7%
Other values (14)144
21.6%
Common
ValueCountFrequency (%)
/116
48.7%
.81
34.0%
:41
 
17.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/116
12.8%
t114
12.6%
w92
 
10.2%
.81
 
9.0%
o51
 
5.6%
p45
 
5.0%
s44
 
4.9%
m43
 
4.8%
h42
 
4.6%
:41
 
4.5%
Other values (17)236
26.1%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show.externals.tvrage
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show.externals.thetvdb
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct27
Distinct (%)60.0%
Missing22
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean371288.8
Minimum265193
Maximum397581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:24.060123image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum265193
5-th percentile322682.6
Q1372498
median377625
Q3390748
95-th percentile394718.2
Maximum397581
Range132388
Interquartile range (IQR)18250

Descriptive statistics

Standard deviation27466.74489
Coefficient of variation (CV)0.07397676658
Kurtosis4.18679145
Mean371288.8
Median Absolute Deviation (MAD)9527
Skewness-1.939627745
Sum16707996
Variance754422074.8
MonotonicityNot monotonic
2022-09-05T21:49:24.165943image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3724988
 
11.9%
3776257
 
10.4%
3932292
 
3.0%
3310952
 
3.0%
3940722
 
3.0%
3940872
 
3.0%
3871522
 
3.0%
3962981
 
1.5%
3229061
 
1.5%
3948761
 
1.5%
Other values (17)17
25.4%
(Missing)22
32.8%
ValueCountFrequency (%)
2651931
 
1.5%
3166901
 
1.5%
3226731
 
1.5%
3227211
 
1.5%
3229061
 
1.5%
3310952
 
3.0%
3423291
 
1.5%
3697981
 
1.5%
3699881
 
1.5%
3724988
11.9%
ValueCountFrequency (%)
3975811
1.5%
3962981
1.5%
3948761
1.5%
3940872
3.0%
3940722
3.0%
3933371
1.5%
3932292
3.0%
3908731
1.5%
3907481
1.5%
3886721
1.5%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct17
Distinct (%)47.2%
Missing31
Missing (%)46.3%
Memory size664.0 B
tt8322592
tt12605636
tt12199200
tt8871128
tt13175760
Other values (12)
13 

Length

Max length10
Median length10
Mean length9.638888889
Min length9

Characters and Unicode

Total characters347
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)30.6%

Sample

1st rowtt10784214
2nd rowtt13375866
3rd rowtt8871128
4th rowtt8871128
5th rowtt6344082

Common Values

ValueCountFrequency (%)
tt83225928
 
11.9%
tt126056367
 
10.4%
tt121992004
 
6.0%
tt88711282
 
3.0%
tt131757602
 
3.0%
tt135990002
 
3.0%
tt63440821
 
1.5%
tt133758661
 
1.5%
tt133698921
 
1.5%
tt107842141
 
1.5%
Other values (7)7
 
10.4%
(Missing)31
46.3%

Length

2022-09-05T21:49:24.253404image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tt83225928
22.2%
tt126056367
19.4%
tt121992004
11.1%
tt88711282
 
5.6%
tt131757602
 
5.6%
tt135990002
 
5.6%
tt65948821
 
2.8%
tt133995381
 
2.8%
tt110111041
 
2.8%
tt126055481
 
2.8%
Other values (7)7
19.4%

Most occurring characters

ValueCountFrequency (%)
t72
20.7%
248
13.8%
140
11.5%
630
8.6%
030
8.6%
327
 
7.8%
526
 
7.5%
926
 
7.5%
825
 
7.2%
414
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number275
79.3%
Lowercase Letter72
 
20.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
248
17.5%
140
14.5%
630
10.9%
030
10.9%
327
9.8%
526
9.5%
926
9.5%
825
9.1%
414
 
5.1%
79
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
t72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common275
79.3%
Latin72
 
20.7%

Most frequent character per script

Common
ValueCountFrequency (%)
248
17.5%
140
14.5%
630
10.9%
030
10.9%
327
9.8%
526
9.5%
926
9.5%
825
9.1%
414
 
5.1%
79
 
3.3%
Latin
ValueCountFrequency (%)
t72
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t72
20.7%
248
13.8%
140
11.5%
630
8.6%
030
8.6%
327
 
7.8%
526
 
7.5%
926
 
7.5%
825
 
7.2%
414
 
4.0%

_embedded.show.image.medium
Categorical

HIGH CORRELATION
MISSING

Distinct38
Distinct (%)57.6%
Missing1
Missing (%)1.5%
Memory size664.0 B
https://static.tvmaze.com/uploads/images/medium_portrait/377/944128.jpg
https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpg
https://static.tvmaze.com/uploads/images/medium_portrait/244/610570.jpg
https://static.tvmaze.com/uploads/images/medium_portrait/291/727817.jpg
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg
 
2
Other values (33)
38 

Length

Max length72
Median length71
Mean length71.06060606
Min length71

Characters and Unicode

Total characters4690
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)42.4%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_portrait/245/614390.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/394/985939.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/150/375304.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/268/670796.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/377/944128.jpg8
 
11.9%
https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpg7
 
10.4%
https://static.tvmaze.com/uploads/images/medium_portrait/244/610570.jpg7
 
10.4%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727817.jpg4
 
6.0%
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727695.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731348.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/277/693739.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg2
 
3.0%
Other values (28)28
41.8%

Length

2022-09-05T21:49:24.336284image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/377/944128.jpg8
 
12.1%
https://static.tvmaze.com/uploads/images/medium_portrait/244/610570.jpg7
 
10.6%
https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpg7
 
10.6%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727817.jpg4
 
6.1%
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727695.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731348.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/277/693739.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg2
 
3.0%
Other values (28)28
42.4%

Most occurring characters

ValueCountFrequency (%)
t462
 
9.9%
/462
 
9.9%
a330
 
7.0%
m330
 
7.0%
p264
 
5.6%
s264
 
5.6%
i264
 
5.6%
.198
 
4.2%
e198
 
4.2%
o198
 
4.2%
Other values (22)1720
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3300
70.4%
Other Punctuation726
 
15.5%
Decimal Number598
 
12.8%
Connector Punctuation66
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t462
14.0%
a330
10.0%
m330
10.0%
p264
 
8.0%
s264
 
8.0%
i264
 
8.0%
e198
 
6.0%
o198
 
6.0%
g132
 
4.0%
c132
 
4.0%
Other values (8)726
22.0%
Decimal Number
ValueCountFrequency (%)
284
14.0%
778
13.0%
968
11.4%
359
9.9%
457
9.5%
055
9.2%
154
9.0%
654
9.0%
545
7.5%
844
7.4%
Other Punctuation
ValueCountFrequency (%)
/462
63.6%
.198
27.3%
:66
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3300
70.4%
Common1390
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t462
14.0%
a330
10.0%
m330
10.0%
p264
 
8.0%
s264
 
8.0%
i264
 
8.0%
e198
 
6.0%
o198
 
6.0%
g132
 
4.0%
c132
 
4.0%
Other values (8)726
22.0%
Common
ValueCountFrequency (%)
/462
33.2%
.198
14.2%
284
 
6.0%
778
 
5.6%
968
 
4.9%
_66
 
4.7%
:66
 
4.7%
359
 
4.2%
457
 
4.1%
055
 
4.0%
Other values (4)197
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII4690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t462
 
9.9%
/462
 
9.9%
a330
 
7.0%
m330
 
7.0%
p264
 
5.6%
s264
 
5.6%
i264
 
5.6%
.198
 
4.2%
e198
 
4.2%
o198
 
4.2%
Other values (22)1720
36.7%

_embedded.show.image.original
Categorical

HIGH CORRELATION
MISSING

Distinct38
Distinct (%)57.6%
Missing1
Missing (%)1.5%
Memory size664.0 B
https://static.tvmaze.com/uploads/images/original_untouched/377/944128.jpg
https://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg
https://static.tvmaze.com/uploads/images/original_untouched/244/610570.jpg
https://static.tvmaze.com/uploads/images/original_untouched/291/727817.jpg
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg
 
2
Other values (33)
38 

Length

Max length75
Median length74
Mean length74.06060606
Min length74

Characters and Unicode

Total characters4888
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)42.4%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/245/614390.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/394/985939.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/150/375304.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/268/670796.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/377/944128.jpg8
 
11.9%
https://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg7
 
10.4%
https://static.tvmaze.com/uploads/images/original_untouched/244/610570.jpg7
 
10.4%
https://static.tvmaze.com/uploads/images/original_untouched/291/727817.jpg4
 
6.0%
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/727695.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/292/731348.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/277/693739.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg2
 
3.0%
Other values (28)28
41.8%

Length

2022-09-05T21:49:24.424120image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/377/944128.jpg8
 
12.1%
https://static.tvmaze.com/uploads/images/original_untouched/244/610570.jpg7
 
10.6%
https://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg7
 
10.6%
https://static.tvmaze.com/uploads/images/original_untouched/291/727817.jpg4
 
6.1%
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/727695.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/292/731348.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/277/693739.jpg2
 
3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg2
 
3.0%
Other values (28)28
42.4%

Most occurring characters

ValueCountFrequency (%)
/462
 
9.5%
t396
 
8.1%
a330
 
6.8%
s264
 
5.4%
i264
 
5.4%
o264
 
5.4%
p198
 
4.1%
c198
 
4.1%
.198
 
4.1%
g198
 
4.1%
Other values (23)2116
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3498
71.6%
Other Punctuation726
 
14.9%
Decimal Number598
 
12.2%
Connector Punctuation66
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t396
 
11.3%
a330
 
9.4%
s264
 
7.5%
i264
 
7.5%
o264
 
7.5%
p198
 
5.7%
c198
 
5.7%
g198
 
5.7%
m198
 
5.7%
e198
 
5.7%
Other values (9)990
28.3%
Decimal Number
ValueCountFrequency (%)
284
14.0%
778
13.0%
968
11.4%
359
9.9%
457
9.5%
055
9.2%
154
9.0%
654
9.0%
545
7.5%
844
7.4%
Other Punctuation
ValueCountFrequency (%)
/462
63.6%
.198
27.3%
:66
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3498
71.6%
Common1390
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t396
 
11.3%
a330
 
9.4%
s264
 
7.5%
i264
 
7.5%
o264
 
7.5%
p198
 
5.7%
c198
 
5.7%
g198
 
5.7%
m198
 
5.7%
e198
 
5.7%
Other values (9)990
28.3%
Common
ValueCountFrequency (%)
/462
33.2%
.198
14.2%
284
 
6.0%
778
 
5.6%
968
 
4.9%
:66
 
4.7%
_66
 
4.7%
359
 
4.2%
457
 
4.1%
055
 
4.0%
Other values (4)197
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII4888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/462
 
9.5%
t396
 
8.1%
a330
 
6.8%
s264
 
5.4%
i264
 
5.4%
o264
 
5.4%
p198
 
4.1%
c198
 
4.1%
.198
 
4.1%
g198
 
4.1%
Other values (23)2116
43.3%

_embedded.show.summary
Categorical

HIGH CORRELATION
MISSING

Distinct37
Distinct (%)56.9%
Missing2
Missing (%)3.0%
Memory size664.0 B
<p>The series expands the high-octane action of the films as teenager Tony Toretto follows in the footsteps of his cousin Dom when he and his friends are recruited by a government agency to infiltrate an elite racing league serving as a front for a nefarious crime organization bent on world domination.</p>
<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>
<p>Based on the hit toy line Go! Go! Smart Wheels from VTech Electronics, <b>Go! Go! Cory Carson</b> follows the adventures of kid car Cory Carson as he navigates the winding roads of childhood in Bumperton Hills.</p>
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>
<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>
 
2
Other values (32)
37 

Length

Max length1620
Median length668
Mean length382.0461538
Min length75

Characters and Unicode

Total characters24833
Distinct characters90
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)41.5%

Sample

1st row<p>The non-fiction series "Maniacs" tells about the most high-profile Russian crimes, in which still not all the circumstances are clear to the end</p>
2nd row<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>
3rd row<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>
4th row<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>
5th row<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>

Common Values

ValueCountFrequency (%)
<p>The series expands the high-octane action of the films as teenager Tony Toretto follows in the footsteps of his cousin Dom when he and his friends are recruited by a government agency to infiltrate an elite racing league serving as a front for a nefarious crime organization bent on world domination.</p>8
 
11.9%
<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>7
 
10.4%
<p>Based on the hit toy line Go! Go! Smart Wheels from VTech Electronics, <b>Go! Go! Cory Carson</b> follows the adventures of kid car Cory Carson as he navigates the winding roads of childhood in Bumperton Hills.</p>7
 
10.4%
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>4
 
6.0%
<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>2
 
3.0%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>2
 
3.0%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>2
 
3.0%
<p><b>Detention</b> starts at Greenwood High School in the 1990s. Yunxiang Liu, a transfer student, steps into the forbidden area on the campus by accident, where she encounters the ghost of Ruixin Fang. Fang later unveils the hidden history and trauma over the past 30 years, and how a group of young students and teachers were persecuted as they fought for freedom in the era of censorship. Their stories keep coming back to the school like haunting nightmares, waiting to be told and revealed.  </p>2
 
3.0%
<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>2
 
3.0%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>2
 
3.0%
Other values (27)27
40.3%
(Missing)2
 
3.0%

Length

2022-09-05T21:49:24.614127image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the244
 
5.9%
and142
 
3.4%
to117
 
2.8%
of110
 
2.7%
a109
 
2.6%
in72
 
1.7%
his63
 
1.5%
as61
 
1.5%
is53
 
1.3%
he51
 
1.2%
Other values (1130)3114
75.3%

Most occurring characters

ValueCountFrequency (%)
4064
16.4%
e2193
 
8.8%
a1601
 
6.4%
o1524
 
6.1%
n1519
 
6.1%
t1518
 
6.1%
i1434
 
5.8%
s1323
 
5.3%
r1141
 
4.6%
h1010
 
4.1%
Other values (80)7506
30.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter18821
75.8%
Space Separator4073
 
16.4%
Uppercase Letter826
 
3.3%
Other Punctuation616
 
2.5%
Math Symbol386
 
1.6%
Dash Punctuation54
 
0.2%
Decimal Number26
 
0.1%
Other Letter8
 
< 0.1%
Initial Punctuation7
 
< 0.1%
Open Punctuation7
 
< 0.1%
Other values (3)9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e2193
11.7%
a1601
 
8.5%
o1524
 
8.1%
n1519
 
8.1%
t1518
 
8.1%
i1434
 
7.6%
s1323
 
7.0%
r1141
 
6.1%
h1010
 
5.4%
d711
 
3.8%
Other values (17)4847
25.8%
Uppercase Letter
ValueCountFrequency (%)
T101
 
12.2%
S70
 
8.5%
W57
 
6.9%
X49
 
5.9%
G49
 
5.9%
A44
 
5.3%
C43
 
5.2%
H41
 
5.0%
B33
 
4.0%
M33
 
4.0%
Other values (16)306
37.0%
Other Punctuation
ValueCountFrequency (%)
,213
34.6%
.164
26.6%
/98
15.9%
'68
 
11.0%
!41
 
6.7%
"18
 
2.9%
;6
 
1.0%
?4
 
0.6%
:3
 
0.5%
&1
 
0.2%
Other Letter
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Decimal Number
ValueCountFrequency (%)
09
34.6%
16
23.1%
95
19.2%
23
 
11.5%
32
 
7.7%
41
 
3.8%
Space Separator
ValueCountFrequency (%)
4064
99.8%
 9
 
0.2%
Math Symbol
ValueCountFrequency (%)
<193
50.0%
>193
50.0%
Dash Punctuation
ValueCountFrequency (%)
-47
87.0%
7
 
13.0%
Open Punctuation
ValueCountFrequency (%)
(6
85.7%
[1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
)6
85.7%
]1
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
7
100.0%
Modifier Letter
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin19647
79.1%
Common5178
 
20.9%
Han4
 
< 0.1%
Katakana4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e2193
 
11.2%
a1601
 
8.1%
o1524
 
7.8%
n1519
 
7.7%
t1518
 
7.7%
i1434
 
7.3%
s1323
 
6.7%
r1141
 
5.8%
h1010
 
5.1%
d711
 
3.6%
Other values (43)5673
28.9%
Common
ValueCountFrequency (%)
4064
78.5%
,213
 
4.1%
<193
 
3.7%
>193
 
3.7%
.164
 
3.2%
/98
 
1.9%
'68
 
1.3%
-47
 
0.9%
!41
 
0.8%
"18
 
0.3%
Other values (19)79
 
1.5%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII24799
99.9%
Punctuation14
 
0.1%
None10
 
< 0.1%
Katakana5
 
< 0.1%
CJK4
 
< 0.1%
Dingbats1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4064
16.4%
e2193
 
8.8%
a1601
 
6.5%
o1524
 
6.1%
n1519
 
6.1%
t1518
 
6.1%
i1434
 
5.8%
s1323
 
5.3%
r1141
 
4.6%
h1010
 
4.1%
Other values (66)7472
30.1%
None
ValueCountFrequency (%)
 9
90.0%
ā1
 
10.0%
Punctuation
ValueCountFrequency (%)
7
50.0%
7
50.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Dingbats
ValueCountFrequency (%)
1
100.0%

_embedded.show.updated
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1638512090
Minimum1607887175
Maximum1662275668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size664.0 B
2022-09-05T21:49:24.780630image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1607887175
5-th percentile1609359827
Q11619513311
median1642633262
Q31653681456
95-th percentile1661637487
Maximum1662275668
Range54388493
Interquartile range (IQR)34168145

Descriptive statistics

Standard deviation18133783.5
Coefficient of variation (CV)0.01106722594
Kurtosis-1.213936005
Mean1638512090
Median Absolute Deviation (MAD)12343149
Skewness-0.4781530037
Sum1.0978031 × 1011
Variance3.288341041 × 1014
MonotonicityNot monotonic
2022-09-05T21:49:24.889783image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
16398278278
 
11.9%
16093598277
 
10.4%
16195133117
 
10.4%
16549762524
 
6.0%
16482170292
 
3.0%
16536814562
 
3.0%
16499562022
 
3.0%
16491780842
 
3.0%
16098872012
 
3.0%
16549764112
 
3.0%
Other values (29)29
43.3%
ValueCountFrequency (%)
16078871751
 
1.5%
16093598277
10.4%
16098872012
 
3.0%
16102165781
 
1.5%
16129809601
 
1.5%
16195133117
10.4%
16238295291
 
1.5%
16238296751
 
1.5%
16284290411
 
1.5%
16363989371
 
1.5%
ValueCountFrequency (%)
16622756681
1.5%
16622629611
1.5%
16622313551
1.5%
16618639531
1.5%
16611090651
1.5%
16611076721
1.5%
16611067121
1.5%
16588286281
1.5%
16569526151
1.5%
16567617771
1.5%

_embedded.show._links.self.href
Categorical

HIGH CORRELATION

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size664.0 B
https://api.tvmaze.com/shows/42592
https://api.tvmaze.com/shows/48922
https://api.tvmaze.com/shows/39627
https://api.tvmaze.com/shows/52685
https://api.tvmaze.com/shows/47912
 
2
Other values (34)
39 

Length

Max length34
Median length34
Mean length34
Min length34

Characters and Unicode

Total characters2278
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)43.3%

Sample

1st rowhttps://api.tvmaze.com/shows/46689
2nd rowhttps://api.tvmaze.com/shows/48597
3rd rowhttps://api.tvmaze.com/shows/35551
4th rowhttps://api.tvmaze.com/shows/49206
5th rowhttps://api.tvmaze.com/shows/49740

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/shows/425928
 
11.9%
https://api.tvmaze.com/shows/489227
 
10.4%
https://api.tvmaze.com/shows/396277
 
10.4%
https://api.tvmaze.com/shows/526854
 
6.0%
https://api.tvmaze.com/shows/479122
 
3.0%
https://api.tvmaze.com/shows/526652
 
3.0%
https://api.tvmaze.com/shows/528982
 
3.0%
https://api.tvmaze.com/shows/528062
 
3.0%
https://api.tvmaze.com/shows/511252
 
3.0%
https://api.tvmaze.com/shows/527432
 
3.0%
Other values (29)29
43.3%

Length

2022-09-05T21:49:24.980760image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/shows/425928
 
11.9%
https://api.tvmaze.com/shows/396277
 
10.4%
https://api.tvmaze.com/shows/489227
 
10.4%
https://api.tvmaze.com/shows/526854
 
6.0%
https://api.tvmaze.com/shows/479122
 
3.0%
https://api.tvmaze.com/shows/526652
 
3.0%
https://api.tvmaze.com/shows/528982
 
3.0%
https://api.tvmaze.com/shows/528062
 
3.0%
https://api.tvmaze.com/shows/511252
 
3.0%
https://api.tvmaze.com/shows/527432
 
3.0%
Other values (29)29
43.3%

Most occurring characters

ValueCountFrequency (%)
/268
 
11.8%
s201
 
8.8%
t201
 
8.8%
h134
 
5.9%
p134
 
5.9%
a134
 
5.9%
o134
 
5.9%
.134
 
5.9%
m134
 
5.9%
e67
 
2.9%
Other values (16)737
32.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1474
64.7%
Other Punctuation469
 
20.6%
Decimal Number335
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s201
13.6%
t201
13.6%
h134
9.1%
p134
9.1%
a134
9.1%
o134
9.1%
m134
9.1%
e67
 
4.5%
w67
 
4.5%
c67
 
4.5%
Other values (3)201
13.6%
Decimal Number
ValueCountFrequency (%)
259
17.6%
558
17.3%
938
11.3%
437
11.0%
634
10.1%
829
8.7%
324
7.2%
723
 
6.9%
118
 
5.4%
015
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/268
57.1%
.134
28.6%
:67
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin1474
64.7%
Common804
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/268
33.3%
.134
16.7%
:67
 
8.3%
259
 
7.3%
558
 
7.2%
938
 
4.7%
437
 
4.6%
634
 
4.2%
829
 
3.6%
324
 
3.0%
Other values (3)56
 
7.0%
Latin
ValueCountFrequency (%)
s201
13.6%
t201
13.6%
h134
9.1%
p134
9.1%
a134
9.1%
o134
9.1%
m134
9.1%
e67
 
4.5%
w67
 
4.5%
c67
 
4.5%
Other values (3)201
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/268
 
11.8%
s201
 
8.8%
t201
 
8.8%
h134
 
5.9%
p134
 
5.9%
a134
 
5.9%
o134
 
5.9%
.134
 
5.9%
m134
 
5.9%
e67
 
2.9%
Other values (16)737
32.4%
Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size664.0 B
https://api.tvmaze.com/episodes/2238502
https://api.tvmaze.com/episodes/1990352
https://api.tvmaze.com/episodes/2078162
https://api.tvmaze.com/episodes/2118097
https://api.tvmaze.com/episodes/1972591
 
2
Other values (34)
39 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters2613
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)43.3%

Sample

1st rowhttps://api.tvmaze.com/episodes/2227144
2nd rowhttps://api.tvmaze.com/episodes/2269802
3rd rowhttps://api.tvmaze.com/episodes/2330393
4th rowhttps://api.tvmaze.com/episodes/2386129
5th rowhttps://api.tvmaze.com/episodes/2377377

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/22385028
 
11.9%
https://api.tvmaze.com/episodes/19903527
 
10.4%
https://api.tvmaze.com/episodes/20781627
 
10.4%
https://api.tvmaze.com/episodes/21180974
 
6.0%
https://api.tvmaze.com/episodes/19725912
 
3.0%
https://api.tvmaze.com/episodes/19942742
 
3.0%
https://api.tvmaze.com/episodes/20057622
 
3.0%
https://api.tvmaze.com/episodes/20000832
 
3.0%
https://api.tvmaze.com/episodes/19927142
 
3.0%
https://api.tvmaze.com/episodes/19975522
 
3.0%
Other values (29)29
43.3%

Length

2022-09-05T21:49:25.062130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/22385028
 
11.9%
https://api.tvmaze.com/episodes/20781627
 
10.4%
https://api.tvmaze.com/episodes/19903527
 
10.4%
https://api.tvmaze.com/episodes/21180974
 
6.0%
https://api.tvmaze.com/episodes/19725912
 
3.0%
https://api.tvmaze.com/episodes/19942742
 
3.0%
https://api.tvmaze.com/episodes/20057622
 
3.0%
https://api.tvmaze.com/episodes/20000832
 
3.0%
https://api.tvmaze.com/episodes/19927142
 
3.0%
https://api.tvmaze.com/episodes/19975522
 
3.0%
Other values (29)29
43.3%

Most occurring characters

ValueCountFrequency (%)
/268
 
10.3%
t201
 
7.7%
p201
 
7.7%
s201
 
7.7%
e201
 
7.7%
a134
 
5.1%
i134
 
5.1%
.134
 
5.1%
m134
 
5.1%
o134
 
5.1%
Other values (16)871
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1675
64.1%
Other Punctuation469
 
17.9%
Decimal Number469
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t201
12.0%
p201
12.0%
s201
12.0%
e201
12.0%
a134
8.0%
i134
8.0%
m134
8.0%
o134
8.0%
h67
 
4.0%
d67
 
4.0%
Other values (3)201
12.0%
Decimal Number
ValueCountFrequency (%)
2107
22.8%
157
12.2%
957
12.2%
053
11.3%
841
 
8.7%
741
 
8.7%
339
 
8.3%
535
 
7.5%
621
 
4.5%
418
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/268
57.1%
.134
28.6%
:67
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin1675
64.1%
Common938
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/268
28.6%
.134
14.3%
2107
 
11.4%
:67
 
7.1%
157
 
6.1%
957
 
6.1%
053
 
5.7%
841
 
4.4%
741
 
4.4%
339
 
4.2%
Other values (3)74
 
7.9%
Latin
ValueCountFrequency (%)
t201
12.0%
p201
12.0%
s201
12.0%
e201
12.0%
a134
8.0%
i134
8.0%
m134
8.0%
o134
8.0%
h67
 
4.0%
d67
 
4.0%
Other values (3)201
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/268
 
10.3%
t201
 
7.7%
p201
 
7.7%
s201
 
7.7%
e201
 
7.7%
a134
 
5.1%
i134
 
5.1%
.134
 
5.1%
m134
 
5.1%
o134
 
5.1%
Other values (16)871
33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct3
Distinct (%)100.0%
Missing64
Missing (%)95.5%
Memory size664.0 B
https://api.tvmaze.com/episodes/2330394
https://api.tvmaze.com/episodes/2377378
https://api.tvmaze.com/episodes/2377389

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters117
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2330394
2nd rowhttps://api.tvmaze.com/episodes/2377378
3rd rowhttps://api.tvmaze.com/episodes/2377389

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23303941
 
1.5%
https://api.tvmaze.com/episodes/23773781
 
1.5%
https://api.tvmaze.com/episodes/23773891
 
1.5%
(Missing)64
95.5%

Length

2022-09-05T21:49:25.147983image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:25.240639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23303941
33.3%
https://api.tvmaze.com/episodes/23773781
33.3%
https://api.tvmaze.com/episodes/23773891
33.3%

Most occurring characters

ValueCountFrequency (%)
/12
 
10.3%
p9
 
7.7%
s9
 
7.7%
t9
 
7.7%
e9
 
7.7%
37
 
6.0%
a6
 
5.1%
i6
 
5.1%
.6
 
5.1%
m6
 
5.1%
Other values (13)38
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter75
64.1%
Other Punctuation21
 
17.9%
Decimal Number21
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p9
12.0%
s9
12.0%
t9
12.0%
e9
12.0%
a6
8.0%
i6
8.0%
m6
8.0%
o6
8.0%
h3
 
4.0%
d3
 
4.0%
Other values (3)9
12.0%
Decimal Number
ValueCountFrequency (%)
37
33.3%
75
23.8%
23
14.3%
92
 
9.5%
82
 
9.5%
01
 
4.8%
41
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/12
57.1%
.6
28.6%
:3
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin75
64.1%
Common42
35.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
p9
12.0%
s9
12.0%
t9
12.0%
e9
12.0%
a6
8.0%
i6
8.0%
m6
8.0%
o6
8.0%
h3
 
4.0%
d3
 
4.0%
Other values (3)9
12.0%
Common
ValueCountFrequency (%)
/12
28.6%
37
16.7%
.6
14.3%
75
11.9%
23
 
7.1%
:3
 
7.1%
92
 
4.8%
82
 
4.8%
01
 
2.4%
41
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/12
 
10.3%
p9
 
7.7%
s9
 
7.7%
t9
 
7.7%
e9
 
7.7%
37
 
6.0%
a6
 
5.1%
i6
 
5.1%
.6
 
5.1%
m6
 
5.1%
Other values (13)38
32.5%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show.network.id
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size664.0 B
263.0
236.0

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row263.0
2nd row236.0

Common Values

ValueCountFrequency (%)
263.01
 
1.5%
236.01
 
1.5%
(Missing)65
97.0%

Length

2022-09-05T21:49:25.323755image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:25.409204image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
263.01
50.0%
236.01
50.0%

Most occurring characters

ValueCountFrequency (%)
22
20.0%
62
20.0%
32
20.0%
.2
20.0%
02
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8
80.0%
Other Punctuation2
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
22
25.0%
62
25.0%
32
25.0%
02
25.0%
Other Punctuation
ValueCountFrequency (%)
.2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common10
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
22
20.0%
62
20.0%
32
20.0%
.2
20.0%
02
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
20.0%
62
20.0%
32
20.0%
.2
20.0%
02
20.0%

_embedded.show.network.name
Categorical

MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size664.0 B
TV Asahi
Oprah Winfrey Network

Length

Max length21
Median length14.5
Mean length14.5
Min length8

Characters and Unicode

Total characters29
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowTV Asahi
2nd rowOprah Winfrey Network

Common Values

ValueCountFrequency (%)
TV Asahi1
 
1.5%
Oprah Winfrey Network1
 
1.5%
(Missing)65
97.0%

Length

2022-09-05T21:49:25.486534image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:25.584796image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
tv1
20.0%
asahi1
20.0%
oprah1
20.0%
winfrey1
20.0%
network1
20.0%

Most occurring characters

ValueCountFrequency (%)
r3
 
10.3%
3
 
10.3%
a2
 
6.9%
h2
 
6.9%
i2
 
6.9%
e2
 
6.9%
f1
 
3.4%
o1
 
3.4%
w1
 
3.4%
t1
 
3.4%
Other values (11)11
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter20
69.0%
Uppercase Letter6
 
20.7%
Space Separator3
 
10.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r3
15.0%
a2
10.0%
h2
10.0%
i2
10.0%
e2
10.0%
f1
 
5.0%
o1
 
5.0%
w1
 
5.0%
t1
 
5.0%
y1
 
5.0%
Other values (4)4
20.0%
Uppercase Letter
ValueCountFrequency (%)
N1
16.7%
T1
16.7%
W1
16.7%
V1
16.7%
O1
16.7%
A1
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin26
89.7%
Common3
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r3
 
11.5%
a2
 
7.7%
h2
 
7.7%
i2
 
7.7%
e2
 
7.7%
f1
 
3.8%
o1
 
3.8%
w1
 
3.8%
t1
 
3.8%
N1
 
3.8%
Other values (10)10
38.5%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII29
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r3
 
10.3%
3
 
10.3%
a2
 
6.9%
h2
 
6.9%
i2
 
6.9%
e2
 
6.9%
f1
 
3.4%
o1
 
3.4%
w1
 
3.4%
t1
 
3.4%
Other values (11)11
37.9%

_embedded.show.network.country.name
Categorical

MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size664.0 B
Japan
United States

Length

Max length13
Median length9
Mean length9
Min length5

Characters and Unicode

Total characters18
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowJapan
2nd rowUnited States

Common Values

ValueCountFrequency (%)
Japan1
 
1.5%
United States1
 
1.5%
(Missing)65
97.0%

Length

2022-09-05T21:49:25.680112image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:25.779803image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
japan1
33.3%
united1
33.3%
states1
33.3%

Most occurring characters

ValueCountFrequency (%)
a3
16.7%
t3
16.7%
n2
11.1%
e2
11.1%
J1
 
5.6%
p1
 
5.6%
U1
 
5.6%
i1
 
5.6%
d1
 
5.6%
1
 
5.6%
Other values (2)2
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter14
77.8%
Uppercase Letter3
 
16.7%
Space Separator1
 
5.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a3
21.4%
t3
21.4%
n2
14.3%
e2
14.3%
p1
 
7.1%
i1
 
7.1%
d1
 
7.1%
s1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
J1
33.3%
U1
33.3%
S1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin17
94.4%
Common1
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a3
17.6%
t3
17.6%
n2
11.8%
e2
11.8%
J1
 
5.9%
p1
 
5.9%
U1
 
5.9%
i1
 
5.9%
d1
 
5.9%
S1
 
5.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a3
16.7%
t3
16.7%
n2
11.1%
e2
11.1%
J1
 
5.6%
p1
 
5.6%
U1
 
5.6%
i1
 
5.6%
d1
 
5.6%
1
 
5.6%
Other values (2)2
11.1%

_embedded.show.network.country.code
Categorical

MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size664.0 B
JP
US

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowJP
2nd rowUS

Common Values

ValueCountFrequency (%)
JP1
 
1.5%
US1
 
1.5%
(Missing)65
97.0%

Length

2022-09-05T21:49:25.859648image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:25.944742image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
jp1
50.0%
us1
50.0%

Most occurring characters

ValueCountFrequency (%)
J1
25.0%
P1
25.0%
U1
25.0%
S1
25.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter4
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
J1
25.0%
P1
25.0%
U1
25.0%
S1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
J1
25.0%
P1
25.0%
U1
25.0%
S1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
J1
25.0%
P1
25.0%
U1
25.0%
S1
25.0%
Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size664.0 B
Asia/Tokyo
America/New_York

Length

Max length16
Median length13
Mean length13
Min length10

Characters and Unicode

Total characters26
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowAsia/Tokyo
2nd rowAmerica/New_York

Common Values

ValueCountFrequency (%)
Asia/Tokyo1
 
1.5%
America/New_York1
 
1.5%
(Missing)65
97.0%

Length

2022-09-05T21:49:26.019783image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:49:26.105884image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/tokyo1
50.0%
america/new_york1
50.0%

Most occurring characters

ValueCountFrequency (%)
o3
11.5%
A2
 
7.7%
i2
 
7.7%
a2
 
7.7%
/2
 
7.7%
k2
 
7.7%
e2
 
7.7%
r2
 
7.7%
c1
 
3.8%
_1
 
3.8%
Other values (7)7
26.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter18
69.2%
Uppercase Letter5
 
19.2%
Other Punctuation2
 
7.7%
Connector Punctuation1
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o3
16.7%
i2
11.1%
a2
11.1%
k2
11.1%
e2
11.1%
r2
11.1%
c1
 
5.6%
w1
 
5.6%
y1
 
5.6%
m1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A2
40.0%
N1
20.0%
T1
20.0%
Y1
20.0%
Other Punctuation
ValueCountFrequency (%)
/2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin23
88.5%
Common3
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o3
13.0%
A2
 
8.7%
i2
 
8.7%
a2
 
8.7%
k2
 
8.7%
e2
 
8.7%
r2
 
8.7%
c1
 
4.3%
w1
 
4.3%
N1
 
4.3%
Other values (5)5
21.7%
Common
ValueCountFrequency (%)
/2
66.7%
_1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII26
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o3
11.5%
A2
 
7.7%
i2
 
7.7%
a2
 
7.7%
/2
 
7.7%
k2
 
7.7%
e2
 
7.7%
r2
 
7.7%
c1
 
3.8%
_1
 
3.8%
Other values (7)7
26.9%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing67
Missing (%)100.0%
Memory size664.0 B

Interactions

2022-09-05T21:49:05.080715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:48:55.958288image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
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Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-09-05T21:49:26.449938image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-09-05T21:49:26.701848image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-09-05T21:49:26.975355image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-09-05T21:49:06.788896image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-09-05T21:49:07.192858image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimesummaryrating.averageimage.mediumimage.original_links.self.href_embedded.show.id_embedded.show.url_embedded.show.name_embedded.show.type_embedded.show.language_embedded.show.genres_embedded.show.status_embedded.show.runtime_embedded.show.averageRuntime_embedded.show.premiered_embedded.show.ended_embedded.show.officialSite_embedded.show.schedule.time_embedded.show.schedule.days_embedded.show.rating.average_embedded.show.weight_embedded.show.network_embedded.show.webChannel.id_embedded.show.webChannel.name_embedded.show.webChannel.country.name_embedded.show.webChannel.country.code_embedded.show.webChannel.country.timezone_embedded.show.webChannel.officialSite_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage_embedded.show._links.nextepisode.href_embedded.show.webChannel.country_embedded.show.image_embedded.show.network.id_embedded.show.network.name_embedded.show.network.country.name_embedded.show.network.country.code_embedded.show.network.country.timezone_embedded.show.network.officialSite_embedded.show.webChannel
01989493https://www.tvmaze.com/episodes/1989493/poslednij-ministr-s01-special-korotkij-denКороткий день1NaNsignificant_special2020-12-262020-12-26T00:00:00+00:0043.0None6.0https://static.tvmaze.com/uploads/images/medium_landscape/290/726628.jpghttps://static.tvmaze.com/uploads/images/original_untouched/290/726628.jpghttps://api.tvmaze.com/episodes/198949346689https://www.tvmaze.com/shows/46689/poslednij-ministrПоследний министрScriptedRussian[Comedy]Ended25.025.02020-03-262022-02-19https://hd.kinopoisk.ru/film/4cdfa8166bdf70b29ee3d4e1379e7a7c[Tuesday, Saturday]NaN70NaN381.0КиноПоиск HDRussian FederationRUAsia/Kamchatkahttps://hd.kinopoisk.ru/NoneNoneNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/245/614390.jpghttps://static.tvmaze.com/uploads/images/original_untouched/245/614390.jpgNone1661863953https://api.tvmaze.com/shows/46689https://api.tvmaze.com/episodes/2227144NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12269801https://www.tvmaze.com/episodes/2269801/manaki-1x08-naloznicy-podzemela-delo-manaka-mohovaНаложницы подземелья. Дело маньяка Мохова18.0regular2020-12-262020-12-26T00:00:00+00:0040.0NaNhttps://static.tvmaze.com/uploads/images/medium_landscape/394/985938.jpghttps://static.tvmaze.com/uploads/images/original_untouched/394/985938.jpghttps://api.tvmaze.com/episodes/226980148597https://www.tvmaze.com/shows/48597/manakiМаньякиDocumentaryRussian[]To Be Determined40.040.02020-05-22Nonehttps://premier.one/show/12420[]NaN16NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNoneNoneNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/394/985939.jpghttps://static.tvmaze.com/uploads/images/original_untouched/394/985939.jpg<p>The non-fiction series "Maniacs" tells about the most high-profile Russian crimes, in which still not all the circumstances are clear to the end</p>1656952615https://api.tvmaze.com/shows/48597https://api.tvmaze.com/episodes/2269802NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21993456https://www.tvmaze.com/episodes/1993456/soul-land-7x06-di136ji第136集76.0regular2020-12-2610:002020-12-26T02:00:00+00:0020.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/199345635551https://www.tvmaze.com/shows/35551/soul-landSoul LandAnimationChinese[Action, Adventure, Anime, Fantasy]Running20.020.02018-01-13Nonehttps://v.qq.com/detail/m/m441e3rjq9kwpsc.html10:00[Saturday]7.791NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNone342329.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/150/375304.jpghttps://static.tvmaze.com/uploads/images/original_untouched/150/375304.jpg<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>1652939782https://api.tvmaze.com/shows/35551https://api.tvmaze.com/episodes/2330393NaNhttps://api.tvmaze.com/episodes/2330394NaNNaNNaNNaNNaNNaNNaNNaNNaN
32386110https://www.tvmaze.com/episodes/2386110/xian-feng-jian-yu-lu-1x51-episode-51Episode 51151.0regular2020-12-2610:002020-12-26T02:00:00+00:008.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/238611049206https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-luXian Feng Jian Yu LuAnimationChinese[Action, Anime, Fantasy, Supernatural]Running8.07.02020-07-11Nonehttps://v.qq.com/detail/m/mzc00200hc38s5x.html10:00[Wednesday, Saturday]NaN62NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNone386423.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpghttps://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>1662275668https://api.tvmaze.com/shows/49206https://api.tvmaze.com/episodes/2386129NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
42138927https://www.tvmaze.com/episodes/2138927/tokyo-joshi-pro-wrestling-2020-12-26-tjpw-2020-final-round-i-hope-there-are-lots-of-fun-and-happy-things-to-do-next-yearTJPW 2020 Final Round ~ I Hope There Are Lots Of Fun And Happy Things To Do Next Year ~202045.0regular2020-12-2612:002020-12-26T03:00:00+00:00120.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/213892749740https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestlingTokyo Joshi Pro WrestlingSportsJapanese[]Running120.0120.02013-01-30Nonehttps://www.ddtpro.com/12:00[Saturday]NaN46NaN408.0DDTUniverseJapanJPAsia/TokyoNoneNoneNone375304.0tt10784214https://static.tvmaze.com/uploads/images/medium_portrait/268/670796.jpghttps://static.tvmaze.com/uploads/images/original_untouched/268/670796.jpgNone1661106712https://api.tvmaze.com/shows/49740https://api.tvmaze.com/episodes/2377377NaNhttps://api.tvmaze.com/episodes/2377378NaNNaNNaNNaNNaNNaNNaNNaNNaN
51962059https://www.tvmaze.com/episodes/1962059/heaven-officials-blessing-1x10-bygone-banyue-daysBygone Banyue Days110.0regular2020-12-2611:002020-12-26T03:00:00+00:0025.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/196205951670https://www.tvmaze.com/shows/51670/heaven-officials-blessingHeaven Official's BlessingAnimationChinese[Drama, Anime, Fantasy, Romance]Running25.025.02020-10-31Nonehttps://www.bilibili.com/tgcf11:00[Saturday]7.344NaN51.0BilibiliChinaCNAsia/ShanghaiNoneNoneNone388672.0tt13375866https://static.tvmaze.com/uploads/images/medium_portrait/414/1036502.jpghttps://static.tvmaze.com/uploads/images/original_untouched/414/1036502.jpg<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>1656761777https://api.tvmaze.com/shows/51670https://api.tvmaze.com/episodes/1993891NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
61972577https://www.tvmaze.com/episodes/1972577/the-wolf-1x35-episode-35Episode 35135.0regular2020-12-262020-12-26T04:00:00+00:0045.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/197257747912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese[Drama, Romance, History]Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html[]NaN38NaN118.0YoukuChinaCNAsia/ShanghaiNoneNoneNone331095.0tt8871128https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpghttps://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1648217029https://api.tvmaze.com/shows/47912https://api.tvmaze.com/episodes/1972591NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
71972578https://www.tvmaze.com/episodes/1972578/the-wolf-1x36-episode-36Episode 36136.0regular2020-12-262020-12-26T04:00:00+00:0045.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/197257847912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese[Drama, Romance, History]Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html[]NaN38NaN118.0YoukuChinaCNAsia/ShanghaiNoneNoneNone331095.0tt8871128https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpghttps://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1648217029https://api.tvmaze.com/shows/47912https://api.tvmaze.com/episodes/1972591NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
81994246https://www.tvmaze.com/episodes/1994246/a-love-so-romantic-1x05-episode-5Episode 515.0regular2020-12-262020-12-26T04:00:00+00:0045.0NoneNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/393/983024.jpghttps://static.tvmaze.com/uploads/images/original_untouched/393/983024.jpghttps://api.tvmaze.com/episodes/199424652665https://www.tvmaze.com/shows/52665/a-love-so-romanticA Love So RomanticScriptedChinese[Drama, Romance]EndedNaN45.02020-12-242021-01-28None20:00[Thursday, Friday, Saturday]NaN30NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNone394072.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/291/727695.jpghttps://static.tvmaze.com/uploads/images/original_untouched/291/727695.jpg<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>1653681456https://api.tvmaze.com/shows/52665https://api.tvmaze.com/episodes/1994274NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
91994247https://www.tvmaze.com/episodes/1994247/a-love-so-romantic-1x06-episode-6Episode 616.0regular2020-12-262020-12-26T04:00:00+00:0045.0NoneNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/393/983025.jpghttps://static.tvmaze.com/uploads/images/original_untouched/393/983025.jpghttps://api.tvmaze.com/episodes/199424752665https://www.tvmaze.com/shows/52665/a-love-so-romanticA Love So RomanticScriptedChinese[Drama, Romance]EndedNaN45.02020-12-242021-01-28None20:00[Thursday, Friday, Saturday]NaN30NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNone394072.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/291/727695.jpghttps://static.tvmaze.com/uploads/images/original_untouched/291/727695.jpg<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>1653681456https://api.tvmaze.com/shows/52665https://api.tvmaze.com/episodes/1994274NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

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581983275https://www.tvmaze.com/episodes/1983275/eides-spraksjov-6x06-tourett-pa-sakTourett på sak66.0regular2020-12-2620:502020-12-26T19:50:00+00:0050.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/198327551631https://www.tvmaze.com/shows/51631/eides-spraksjovEides språksjovTalk ShowNorwegian[Comedy]RunningNaN43.02017-01-11Nonehttps://tv.nrk.no/serie/eides-spraaksjov[Saturday]NaN4NaN238.0NRK TVNorwayNOEurope/OsloNoneNoneNone322906.0tt8851444https://static.tvmaze.com/uploads/images/medium_portrait/280/701389.jpghttps://static.tvmaze.com/uploads/images/original_untouched/280/701389.jpg<p>Entertainment from here to the moon when Linda Eide and guests pay tribute and joke with language.</p>1650016918https://api.tvmaze.com/shows/51631https://api.tvmaze.com/episodes/2297850NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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601990346https://www.tvmaze.com/episodes/1990346/onyx-equinox-1x06-what-she-carriesWhat She Carries16.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>After an unexpected shift in plans, the group find themselves in the remote city of Tajin, where they are immediately arrested for a crime they didn't commit.</p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199034648922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
611990347https://www.tvmaze.com/episodes/1990347/onyx-equinox-1x07-the-underworldThe Underworld17.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>The group becomes trapped in the Underworld. Zyanya struggles to hide her secret.</p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199034748922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
621990348https://www.tvmaze.com/episodes/1990348/onyx-equinox-1x08-runRun18.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>Mictecacihuatl sends the group to Danibaan. Zyanya's secret is revealed. </p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199034848922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
631990349https://www.tvmaze.com/episodes/1990349/onyx-equinox-1x09-death-from-aboveDeath from Above19.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>On the run from Mictecacihuatl, the group seeks refuge in a remote village. </p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199034948922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
641990350https://www.tvmaze.com/episodes/1990350/onyx-equinox-1x10-death-from-belowDeath from Below110.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>Reeling from Mitecacihuatl's attacks, the group reconvenes at the final gate. Tensions run high as Yaotl's motives are scrutinized. </p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199035048922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
651990351https://www.tvmaze.com/episodes/1990351/onyx-equinox-1x11-the-last-yearThe Last Year111.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>A glimpse into the past reveals the true machinations of the Gods. </p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199035148922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
661990352https://www.tvmaze.com/episodes/1990352/onyx-equinox-1x12-the-betThe Bet112.0regular2020-12-2616:002020-12-26T21:00:00+00:0024.0<p>As the final gate looms and the Gods close in, Izel faces an impossible choice. </p>8.0NaNNaNhttps://api.tvmaze.com/episodes/199035248922https://www.tvmaze.com/shows/48922/onyx-equinoxOnyx EquinoxAnimationEnglish[Action, Adventure, Fantasy]Ended24.024.02020-11-212020-12-26https://www.crunchyroll.com/onyx-equinox16:00[Saturday]5.046NaN20.0CrunchyrollNaNNaNNaNNoneNoneNone377625.0tt12605636https://static.tvmaze.com/uploads/images/medium_portrait/263/658930.jpghttps://static.tvmaze.com/uploads/images/original_untouched/263/658930.jpg<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>1609359827https://api.tvmaze.com/shows/48922https://api.tvmaze.com/episodes/1990352NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN